Jithin is available for hire

Jithin Prakash K

Verified Expert in Engineering

Data Scientist and Software Developer

Location

Bengaluru, India

Toptal Member Since

October 30, 2020

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.

Data Analysis Exploratory Data Analysis Data Analytics Data Scientist Data Visualization Statistics Data Engineering Machine Learning Visual Basic for Applications (VBA)SQL Python Business Intelligence (BI)Google Cloud Scikit-learn Pandas Looker (Formerly Google Data Studio)Catia VBA Statistical Process Control

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

Availability

Part-time

Preferred Environment

Matplotlib, Data Visualization, Data Analysis, Machine Learning, Exploratory Data Analysis, Data Science, Python 3, Jupyter Notebook, Heatmaps

The most amazing...

...thing I've done is a cost-saving project for a manufacturing firm that received a SME award for statistical process control and Lean manufacturing.

Work Experience

Lead Data Scientist

2022 - 2023

Google

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

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

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

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

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

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

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

Experience

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.

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

Skillset

Languages

Visual Basic for Applications (VBA), Python, SQL, Python 3, Google Apps Script

Libraries/APIs

Scikit-learn, Pandas, NumPy, Matplotlib, REST APIs

Tools

Looker, Jira, Microsoft Power BI, Tableau, Seaborn, Excel 2013, Office 2010, CATIA, Periscope, Impala, BigQuery

Paradigms

Data Science, Business Intelligence (BI), Agile Project Management

Platforms

Jupyter Notebook, Amazon Web Services (AWS)

Storage

Google Cloud, Redshift, PostgreSQL

Other

Machine Learning, Data Analysis, Data Visualization, Exploratory Data Analysis, Data Analytics, Google BigQuery, Data-driven Decision-making, Dashboards, Statistics, Data Scientist, Reports, Data Engineering, Heatmaps, Classification, Decision Trees, Web Scraping, Data Scraping, 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, Artificial Intelligence (AI), GPT, Generative Pre-trained Transformers (GPT)

Frameworks

Presto

Industry Expertise

Project Management

Education

2021 - 2021

Master's Degree in Data Science

Liverpool John Moores University - Liverpool, United Kingdom

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

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