Zarak Shah
Grand Rapids,MI
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems. Phd student and researcher in Deep Learning and Photonics Integrated Circuits designs.
Overview
11
11
years of professional experience
Work History
Senior Data Scientist
Meijer (Alpine)
09.2024 - Current
- Optimized a complete on Prod job within the first two months saving the company 10k yearly in cloud costs. Leading the team's effort for cloud resource optimization.
- Developed New Models increasing accuracy of Demand forecast for Fresh, Meat and Seafood products across274 stores by 15%.
- Deployed New APIs bringing Promotional campaigns and weather data directly into Production environment.
- Developed advance pipelines to detect outliers and potential spike in sales in real time.
Senior Data Scientist
Microsoft (Infogain)
02.2022 - 12.2023
- Developed and deployed Model APIs of Machine learning and deep learning models to enhance marketing forecasting and trend analysis. Integrated these models into the marketing ecosystem to predict customer demand, optimize inventory, plan marketing campaigns using multi touch attribution.
- Developed, deployed and maintained end to end data pipeline jobs that feed data real time for AI products. Applied machine learning algorithms and statistical analysis techniques to uncover patterns and insights for customer acquisition.
- Engineered and implemented a robust sentiment analysis model leveraging web scraping techniques to analyze user comments on company promotional social media posts, enabling accurate prediction of sales opportunities by categorizing potential customer conversion likelihood.
Data Scientist
META (Grid Dynamics)
03.2021 - 02.2022
- Company Overview: through Grid Dynamics
- Developed time series models (ARIMA & LSTM) to analyze Campaigns and its performance against all customer segments, models regenerated sales predictions by each customer group giving a more accurate picture of sales and provided data insights. Sales jumped by over 5% per quarter.
- Collaborated with multiple stakeholders such as marketing and sales depts to find redundancy in their outreach programs and identified low performing channels and campaigns. Created a custom tracking dashboard.
- Optimized data pipelines using Structured and NoSQL data sources to manage and collate data into insights that can be used for online marketing campaigns which allowed faster decision making for social media managers.
- Used optimization techniques, such as linear programming or mathematical modeling to handle Tera bytes of data in Linux systems. Was able to deploy custom KNN on text to help with customer segmentation and reach.
- Through Grid Dynamics
Big Data Engineer
Sogeti With 84.51
09.2019 - 03.2021
- Developed and implemented a demand forecasting model for vaccine inventory management, leveraging past data from multiple pharmacies across the US. Utilized advanced time series analysis and other techniques to accurately predict future demand patterns and optimize inventory levels.
- Modeling was performed using SVM, Logistic regression, KNN, Bernoulli, Naive bayes and Artificial NN (with two hidden layers). Reducing over costs and allowing senior management real time analytical insights.
- Conducted feature engineering to extract relevant features and enhance the performance of the demand forecasting model, considering factors such as geographical location, seasonality, and external events.
Founder/Tech Lead
Homestove
08.2016 - 07.2018
- Natively built and deployed on prem Machine learning capabilites handling over 200 online orders per hour.
- Homestove was listed among 'TOP 500 STARTUPS TO DATE' by newspace in 2018.
Data Analyst
British American Tobacco
06.2014 - 07.2016
- Dash boarding using Tableau and SQL
Education
MS Business Analytics -
University of Cincinnati
08.2019
Ph.D. - Computational Sciences (On-going)
Harrisburg University of Science & Technology
03-2029
Master of Science - Computer And Information Sciences
Harrisburg University of Science & Technology
04-2026
Skills
- Machine Learning
- Deep Learning
- Computer Vision
- Photonics
- Synopsis Design for Computing chip
- C/C
- CUDA
- Low Latency environment development
- Simulation
Timeline
Senior Data Scientist
Meijer (Alpine)
09.2024 - Current
Senior Data Scientist
Microsoft (Infogain)
02.2022 - 12.2023
Data Scientist
META (Grid Dynamics)
03.2021 - 02.2022
Big Data Engineer
Sogeti With 84.51
09.2019 - 03.2021
Founder/Tech Lead
Homestove
08.2016 - 07.2018
Data Analyst
British American Tobacco
06.2014 - 07.2016
MS Business Analytics -
University of Cincinnati
Ph.D. - Computational Sciences (On-going)
Harrisburg University of Science & Technology
Master of Science - Computer And Information Sciences
Harrisburg University of Science & Technology
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