Jithin is available for hire
Hire JithinJithin Prakash K
Verified Expert in Engineering
Data Scientist and Software Developer
Melbourne, Victoria, Australia
Toptal member since October 30, 2020
Bio
Jithin is a data science enthusiast in machine learning and artificial intelligence, skilled in Python, ML algorithms, Pandas, NumPy, data visualization, Matplotlib, and Seaborn. He is an advanced manufacturing engineer with extensive experience in aerospace, heavy engineering, and engineering support services. His expertise spans project management, production process planning, process improvement, statistical process control, and resource management.
Portfolio
Google
BigQuery, Python, Data Analytics, Data Science, Data Quality, People Management...
HelloFresh
Business Analysis, Business Intelligence (BI), Python, Impala, SQL, BigQuery...
Health IQ - Engineering
SQL, Business Intelligence (BI), Python, Periscope, Data Build Tool (dbt)...
Experience
- Data Analysis - 12 years
- Exploratory Data Analysis - 10 years
- Visual Basic for Applications (VBA) - 10 years
- SQL - 10 years
- Data Visualization - 9 years
- Python 3 - 5 years
- Data Science - 4 years
- Machine Learning - 2 years
Work Experience
Lead Data Scientist
2022 - 2023
- Analyzed the metrics of data quality for multiple component manufacturer sites across the APAC region using Data Studio dashboards and BigQuery.
- Partnered with vendors in discussions and brainstorming to obtain the quality data on time for better analysis on data-based decision making.
- Connected and managed the tasks with all cross-functional stakeholders, including but not limited to test engineers, software engineers, program managers, product managers, etc.
- Onboarded new vendors and partners into the Google ecosystem, making the stakeholder understand the data standardization process and ensuring the quality of data using advanced SQL and Looker.
- Handled and wrangled the data center component manufacturing, test, symptom, debug, rework, indictment, and traceability data.
- Researched and developed data automation techniques to automate the data quality rules across the test data from all APAC-based vendors using Data Plex.
Technologies: BigQuery, Python, Data Analytics, Data Science, Data Quality, People Management, Business Intelligence (BI), Data-driven Decision-making, Dashboards, Statistics, Data Analysis, Data Scientist, Reports, Data Engineering, Heatmaps, Machine Learning Operations (MLOps), Artificial Intelligence (AI), Prompt Engineering, Large Language Models (LLMs), Analytics, Forecasting, Predictive Analytics, Data Quality Analysis, Dagster, Business Intelligence (BI), Dashboards, Data Analytics, Strategic Planning, Business Strategy, Data Cleaning, Data Labeling, Data Modeling, Datasets, Cross-functional Coordination, Feature Prioritization, Apache Airflow, Vector Databases
Product Analysist | Data Scientist
2021 - 2022
HelloFresh
- Acted as the product analyst with supply chain management tech dealing with product scheduling and logistic configurator.
- Worked on the tracking instructions data to analyze the delivery timelines and latency efficiency.
- Worked with stakeholders in identifying the KPIs and aligning the objectives, key actions, and results.
- Worked on demand shaping assignment to assess the efficiency of the fulfillment centers with respect to the production capacity to automate the processes.
Technologies: Business Analysis, Business Intelligence (BI), Python, Impala, SQL, BigQuery, Jira, Product Analytics, Data Science, A/B Testing, Decision Modeling, Statistics, Data Analysis, Dashboards, Data Scientist, Reports, Data Engineering, Heatmaps, Snowflake, Analytics, Forecasting, Predictive Analytics, System Modeling, Parquet, Data Pipelines, Data Quality Analysis, Business Intelligence (BI), Dashboards, Data Analytics, Strategic Planning, Business Strategy, Data Cleaning, Data Labeling, Data Modeling, Datasets, Cross-functional Coordination, Feature Prioritization
BI Analyst
2021 - 2022
Health IQ - Engineering
- Worked for and with the marketing and sales team of a fast-growing health insurance firm in generating dashboards in periscope using advanced SQL queries on Amazon Redshift SQL database.
- Worked on a customer segmentation project analyzing the demographics and the customer trend.
- Worked on DBT, creating a materialized view and dashboarding the data insights using Looker.
Technologies: SQL, Business Intelligence (BI), Python, Periscope, Data Build Tool (dbt), PostgreSQL, Looker, Jira, Data Scraping, Statistics, Data Analysis, Dashboards, Data Scientist, Reports, Data Engineering, Heatmaps, XGBoost, Analytics, Forecasting, Parquet, Data Pipelines, Data Quality Analysis, Business Intelligence (BI), Dashboards, Data Analytics, Strategic Planning, Data Cleaning, Data Labeling, Data Modeling, Datasets, Cross-functional Coordination, Feature Prioritization
Lead Data Scientist
2013 - 2021
Tata Consultancy Services
- Acted as a BI analyst, building solutions for business problems via simple visualization reports and dashboards. Processed, cleaned, and verified the integrity of data. Created and managed multiple dashboards in PostgreSQL and Looker.
- Identified feature importance for the datasets. Partnered cross-functionally with product managers, marketing and sales directors, core platform engineers, and AI researchers to improve the marketing and sales strategy and processes.
- Served as a data analyst dealing with real-time manufacturing data to ensure data are within range and provide insights on trends, patterns, and anomalies. Used these for machine learning to enhance productivity and drive better business outcomes.
- Developed advanced algorithms to solve issues of large dimensionality in a computationally efficient and statistically effective way. Gained experience in hypothesis testing, machine learning, and retrieval processes on large, unstructured data sets.
- Provided technical support for continuous improvement of divisional manufacturing projects and processes. Created data-based dashboards to report engine health monitoring and predict anomalies and maintenance using SQL and Python.
- Conducted exploratory data analysis (EDA) and data automation of measurement system analysis using Python programming. Gained team management and skill development experience and conducted Agile project planning and project management.
- Honed my extensive programming and debugging skills in Python using Pandas, NumPy, Scikit-Learn, SciPy, and TensorFlow. Gained experience in data mining, text mining, and predictive and forecast modeling.
- Worked on machine learning algorithms but not limited to linear regression, logistic regression, clustering using KNN, DBSCAN, decision tree, random forest, gradient boosting, and neural networks using Keras and TensorFlow.
- Awarded the Best Performer 2014-15 and Star of the Month awards. Acquired the Six Sigma Green Belt certification.
Technologies: Business Intelligence (BI), Data Analysis, Data Science, Data Visualization, Exploratory Data Analysis, Deep Learning, Machine Learning, Data Wrangling, Business Analysis, IT Business Analysis, Agile Project Management, Jupyter Notebook, SQL, Amazon Web Services (AWS), Decision Trees, Microsoft Power BI, Statistics, Python, Dashboards, Data Scientist, Reports, Data Engineering, Heatmaps, IT Management, PyTorch, Analytics, Parquet, Data Pipelines, Data Quality Analysis, Business Intelligence (BI), Dashboards, Data Analytics, Data Cleaning, Data Labeling, Datasets, Cross-functional Coordination
Statistical Process Control Engineer
2010 - 2013
BEML Limited
- Managed 200+ resources as production in charge and managed the resources and inventory.
- Automated documentation and reporting using Visual Basic for Applications (VBA) and Python. Developed a tool based on PowerPoint and Visual Basic to document the entire helicopter assembly manual and instructions.
- Developed in SAP and worked on SAP data and data analysis using Tableau, Excel, and Python. Utilized my expertise in data optimization and structuring related to the Bill of Materials creation for manufacturing and assembly operations.
- Analyzed, made recommendations, and provided technical support to continuously improve divisional manufacturing projects and processes.
- Served as a data analyst dealing with real-time manufacturing data on production, planning, supply chain, and quality.
- Created and manage inventory and resource management system, using a large amount of data apply statistical models, and provided insights.
- Published and managed dashboard creation and data visualization for resource utilization and inventory management.
- Served as a subject matter expert in statistical process control activities, Kaizen, and root cause analysis.
- Conducted in-plant tests in advance to assure unit testing and avoid unplanned overhead costs.
- Designed and performed experiments to evaluate and optimize manufacturing processes or methods.
Technologies: Machine Learning, Data Science, Business Intelligence (BI), Data Analytics, Planning, Lean Manufacturing, Data Scraping, Data Analysis, Dashboards, Reports, Heatmaps, Analytics, Dashboards, Data Analytics, Enterprise Resource Planning (ERP), Data Cleaning, Data Labeling, Cross-functional Coordination
Data Analyst | Automation Expert
2010 - 2013
Online Freelance Agency
- Delivered solutions for multiple clients all over the world on data analysis, dashboard preparation, and automation.
- Implemented the Lean methodology and statistical process control tools on different cost-saving projects.
- Worked on the real estate data analysis and prediction of foreclosure of the properties to support the client's buy-sell option.
- Conducted exploratory data analysis, created dashboards, automated MS Office and Google Sheets, and used MS Access and MySQL to integrate an inventory management system.
- Took on some secondary projects in composite imagery creation and website automated updates and scraping, SharePoint-based weekly status, and storyboard creation.
- Created a dashboard using raw data and calculations and reported generation, data mining, and web scraping.
Technologies: Scikit-learn, Matplotlib, NumPy, Seaborn, Data Visualization, Data Analysis, Machine Learning, Project Management, Data Science, Python 3, Jupyter Notebook, Google Apps Script, Visual Basic for Applications (VBA), Web Scraping, Data Scraping, Dashboards, Reports, Heatmaps, Analytics, Financial Data, Dashboards, Data Cleaning, Cross-functional Coordination
Design Engineer
2008 - 2010
Tata Consultancy Services
- Designed and drafted Airbus A380 electrical harness.
- Performed data extraction and automation from Catia using Visual Basic.
- Automated draft drawing using Fortran and Catia V4.
Technologies: CATIA, Design
Project History
Real Estate Data Prediction
The project included predicting foreclosure properties based on historical data and trends. I successfully completed the exploratory data analysis, outlier detection, modeling, evaluation, and deployment.
Excel Consultant and Implementer
Advanced Excel automation project for a financial company. Working on the project included evaluating the current system and processes, finding the space for improvement, and ideal report generation. I implemented the advanced automation using Excel VBA and Python scripts.
Proposal System
An MS Office-based automation system for generating CVs and filtering the files as needed for specific job requirements.
Contractual identification using dictionary words, maintaining and applying to the positions using a suitable profile. I automated the system to do the same.
Contractual identification using dictionary words, maintaining and applying to the positions using a suitable profile. I automated the system to do the same.
Portfolio Generation Dashboards
Automated dashboard and report generation using Excel and MS Access. Performed data cleansing and data analysis using Python and automated the generation of reports for all the financial portfolios. I also maintained the existing scripts to update the changes in the system.
Engine Health Montoring
Engine health monitoring of Rolls-Royce Energy Engines (now Siemens) using Python and SQL and recommending the preventive maintenance based on the anomalies and trends detected from the data insights.
DataQuality Monitoring for Google
Analyzing and ensuring the data quality data for the component manufacturers of Google. I supported and managed the Machine learning component manufacturing of Google data centers products to successfully update the data to Google ecosystem
Education
2020 - 2020
Postgraduate Diploma in Data Science
International Institute of Information Technology Bangalore - Bangalore, India
2004 - 2008
Bachelor's Degree in Mechanical Engineering
Amrita School of Engineering - Kollam, Kerala
Certifications
JUNE 2020 - PRESENT
Data Science Specialization
Coursera
JUNE 2020 - PRESENT
Data Analysis and Visualization Using Python
IBM
JUNE 2020 - PRESENT
Tableau Consumer
Tableau Software, LLC
JUNE 2020 - PRESENT
Tableau Author
Tableau Software, LLC.
JUNE 2020 - PRESENT
Data Science Professional Certification
IBM (via Coursera)
MAY 2019 - MAY 2022
PRINCE2 Practitioner
Axelos
Skills
Libraries/APIs
Scikit-learn, Pandas, NumPy, Matplotlib, XGBoost, PyTorch, REST APIs, Microsoft Authentication Library (MSAL)
Tools
Looker, Jira, Microsoft Power BI, Apache Airflow, Tableau, Seaborn, Excel 2013, Office 2010, CATIA, Periscope, Impala, BigQuery, PyCharm, AI Prompts, Google Sheets, Oracle BI Publisher
Languages
Visual Basic for Applications (VBA), Python, SQL, Python 3, Snowflake, Google Apps Script, Visual Basic, Assembly, Fortran
Paradigms
Business Intelligence (BI), Agile Project Management, Kaizen
Platforms
Jupyter Notebook, Amazon Web Services (AWS), SharePoint
Storage
Google Cloud, Data Pipelines, Redshift, PostgreSQL, MySQL
Frameworks
Presto, LangGraph
Industry Expertise
Project Management
Other
Data Science, Machine Learning, Data Analysis, Data Visualization, Exploratory Data Analysis, Data Analytics, Google BigQuery, Data-driven Decision-making, Artificial Intelligence (AI), Dashboards, Statistics, Data Scientist, Reports, Data Engineering, Heatmaps, Parquet, Data Quality Analysis, Business Intelligence (BI), Dashboards, Data Analytics, Data Cleaning, Data Labeling, Datasets, Cross-functional Coordination, Feature Prioritization, Vector Databases, Classification, Decision Trees, Web Scraping, Data Scraping, IT Management, Prompt Engineering, Large Language Models (LLMs), Analytics, Forecasting, Predictive Analytics, Agentic AI, Enterprise Resource Planning (ERP), Strategic Planning, Agentic AI Systems, Data Modeling, Office 365, Outlook, Deep Learning, Planning, Lean Manufacturing, Data Wrangling, Business Analysis, IT Business Analysis, Reporting, Process Improvement, Mechanical Engineering, Statistical Process Control Tools, Design, Data Build Tool (dbt), Product Analytics, A/B Testing, Data Quality, People Management, Google Data Studio, Google Colaboratory (Colab), Natural Language Processing (NLP), Decision Modeling, JSON REST APIs, APIs, Generative Pre-trained Transformers (GPT), Machine Learning Operations (MLOps), Financial Data, System Modeling, AI Agents, Dagster, Business Strategy, SAP, Statistical Process Control (SPC)
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