Ankur Trivedi
Verified Expert in Engineering
Data Scientist and Developer
Gurugram, India
Toptal member since June 28, 2021
Ankur is a senior data scientist with eight years of experience working with multiple clients ranging from banking, aviation, healthcare, retail, pharma to manufacturing companies with varied data science problem statements. He has helped clients with requirements related to customer churn, acquisition, net promoter score, constrained cost optimization, and video processing for queue wait times estimation. Ankur has hands-on experience with Python, scikit-learn, NumPy, Pandas, and TensorFlow.
Portfolio
Experience
- Python - 10 years
- Data Science - 5 years
- Model Development - 5 years
- Machine Learning - 5 years
- Analytics - 5 years
- SAS 9.3 - 4 years
- OpenCV - 3 years
- Amazon SageMaker - 2 years
Availability
Preferred Environment
Amazon Web Services (AWS), SAS, Python 3
The most amazing...
...project I've created was a production-ready end-to-end framework utilizing camera feeds from an amusement park to estimate queue wait times—built on AWS Cloud.
Work Experience
Senior Consultant
Deloitte Consulting
- Developed an end-to-end framework on AWS cloud feeding in various camera feeds to estimate queue wait times for an amusement park utilizing SQS, SNS, AWS Lambda functions, and OpenCV.
- Simulated internet demand for a SATCOM client at a spatiotemporal level to prioritize upcoming deals and identify the potential congestion matrix in advance.
- Strategized the expense plan for one of the major healthcare providers to maximize their KPIs while optimizing the spending for enhanced market ratings.
Consultant
Deloitte Consulting
- Performed unsupervised modeling for a major consumer products manufacturing client to identify downtime and increase the production yield as part of building a data-driven smart factory.
- Developed and implemented a pipeline for feature extraction from customer communication data using latent Dirichlet allocation and sentiment analysis to enhance the performance of the customer churn model utilizing natural language processing (NLP).
- Created a framework for identifying the potential opportunities for each of the stores for sales representatives of an FMCG company and natural language generation methodology to create effective sales scripts in an automated fashion.
Business Analyst
Deloitte Consulting
- Created the customer acquisition propensity model for one of the leading US airlines for evaluating the propensity scores using an elaborate dataset of customer’s past historical transactional history, reducing the acquisition cost by 60%.
- Worked with survey data on airport lounges to identify the pain points, changing trends, and customer satisfaction scores creation along with developing a Tableau dashboard for its consumption by business stakeholders.
- Forecasted the demand at the stock keeping unit (SKU) level for one of the largest fast-food chains based on their past trends, seasonality, price, along with the temperature and humidity variation happening across different geographies.
Experience
Customer Churn Prediction Using NLP
I worked on creating features from communication log data, perform topic-modeling to identify broad topics of discussion along with identifying the text sentiment to proactively identify customers at risk of churn.
Education
Master of Science Degree in Economics
Indian Institute of Technology, Kanpur - Kanpur, India
Skills
Libraries/APIs
Pandas, NumPy, Scikit-learn, REST APIs, OpenCV, TensorFlow, PySpark
Tools
SAS 9.3, Amazon SageMaker, Plotly, Tableau, ChatGPT, sparklyr, Amazon QuickSight
Languages
SAS, Python, SQL, R
Frameworks
Apache Spark
Platforms
Amazon Web Services (AWS), Databricks, AWS Lambda, Docker, Kubernetes, Amazon EC2, Azure, Google Cloud Platform (GCP)
Storage
Amazon S3 (AWS S3), JSON, PostgreSQL, Neo4j
Industry Expertise
Applied Statistics
Other
Machine Learning, Data Science, Analytics, Modeling, Model Development, Data Analytics, Data Analysis, Big Data, Statistics, Artificial Intelligence (AI), Predictive Analytics, Database Analytics, Mathematics, Consulting, Data Engineering, Lambda Functions, Mathematical Statistics, FastAPI, Natural Language Processing (NLP), Amazon Timestream, Cloud Computing, Complex Data Analysis, Deep Learning, Neural Networks, Deep Neural Networks (DNNs), GloVe, Word2Vec, Forecasting, APIs, Computer Vision, Generative Pre-trained Transformers (GPT), Data Visualization, Generative Artificial Intelligence (GenAI), Large Language Models (LLMs), LangChain, Retrieval-augmented Generation (RAG), Leadership, Minimum Viable Product (MVP), Statistical Analysis, Statistical Data Analysis, Large Language Model Operations (LLMOps), Vector Databases, Statistical Methods, Machine Learning Operations (MLOps), Economics, Econometrics, Topic Modeling, Classification, Data Modeling, GraphDB, Scalable Vector Databases, Amazon Bedrock, OpenAI, Pinecone
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