Summer Internship Data Analyst

Daksh Shah

551-***-**** Jersey City, New Jersey - 07307 *******@*******.*** LinkedIn

OBJECTIVE To obtain a summer internship in the field of Artificial Intelligence/Data Science/Data Analytics. PROFILE Analytically minded data-driven professional with around 2 years of experience in Data Science/ Engineering/Analysis and Actuarial Science. I am efficient in mathematics, statistics, coding, logical reasoning, managing project timelines and deliverables and doing Root Cause Analysis of any given problem. EDUCATION Stevens Institute of Technology, Hoboken, New Jersey Sept 22 - May 2024 Master of Engineering in Applied Artificial Intelligence Course Work: Deep Learning, Big Data, Reinforcement Learning, Computer Vision GreyAtom School of Data Science, Mumbai, India July 2019 – May 2020 Certification Program – Data Science

Course Work: Machine Learning, Natural Language Processing, Data Transformation/Visualization Institute of Actuaries of India, Mumbai, India Dec 2015 – Dec 2018 Actuarial Science (Passed 6 Actuarial Exams)

Course Work: CT1, CT3, CT4, CT5, CT7, CT9 – subjects intensive in math/calculus/statistics/economics K. J. Somaiya College of Arts and Commerce July 2015 – May 2018 Bachelor of Commerce

SKILLS Programming Languages: Python, SQL, Visual Basic Visualization: Tableau, Power BI

Other Data Tools: Treasure Data (CDP), Google Tag Manager (Java Script), Google Analytics EXPERIENCE Merkle Sokrati, Pune, India Sept 2020 – June 2022 Senior Data Analyst, Data Science

• Led a team of 2 interns to manage a data tool called CDP(Customer Data Platform) for multiple Indian Automotive clients in Customer Analytics

• Designed 10+ data pipelines to ingest data from different sources and built a Unification WF to identify users from these different data sources and generate a unique ID for each user

• Created 100+ segments and exported these audiences for marketing campaigns

• Deployed multiple Analytical ML models to solve use cases such as churn prediction and sales forecasting

• Aggregated raw data for building dashboards to track business KPIs Prudential Global Services, Mumbai, India Oct 2018 – June 2019 Actuarial Analyst, Actuarial Science

• Collaborated as a part of stochastic modelling team and generated required output for financial reporting

• Scripted 10 tools (Excel & VBA) to automate day-to-day manual processes, thereby reducing job time by 60% and eliminating risk of manual error

PROJECTS [Merkle] - Car Sales Forecasting (Time Series Forecasting) Feb 2022

• Built a model to forecast next 3 months of contracts (sale) and deliveries of cars. Final model to be utilized by client management team to plan inventory and production of cars

• Implemented a SARIMAX model using data exploration (trend and seasonality analysis), data sensitization and exogenous variables creation (generating disaster/launch flags)

[Merkle] - Churn Prediction: Lead Scoring (Classification) Oct 2021

• Upgraded 3 lead scoring models designed to calculate the probability of a lead being converted to the next step of being a customer. Final model is used by call center and dealership teams to prioritize reaching out to these leads. (Hot Lead > Cold Lead)

• Performed data exploration, data cleaning, feature engineering and achieved a good Random Forest model with a recall of 78%

[GreyAtom] - Quora Insincere Questions (NLP Classification) Mar 2020

• Developed a model to predict the insincerity of a question asked on Quora. Final model can be deployed to filter out these questions on Quora UI

• Performed data exploration, ETL and Neural Nets on Word Embeddings to achieve a F1-score of 66%

[GreyAtom] - NYC Taxi Trip Duration (Regression) Dec 2019

• Created a model to estimate the taxi trip duration given data for historical NYC Taxi rides. Final model can be implemented for making better strategic decisions for assigning a rider

• Carried out data exploration, data cleaning, feature engineering, clustering and stacking XGBoost model with base learners (LR,DT,SVM) to achieve a model with RMLSE of 0.40

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