Amritha Sharma
Data Scientist
Jersey City,New Jersey
Summary
Technical and results-driven Data Scientist with 3+ years of experience specializing in advanced machine learning techniques, including deep learning, neural networks, and NLP. Adept at breaking down complex business challenges and applying sophisticated methodologies for impactful insights. Experienced in automating processes, driving operational enhancements, productionalizing models, and business intelligence engineering
Overview
4
4
years of professional experience
7
7
years of post-secondary education
Work History
Associate Data Scientist
Tiger Analytics
Jersey City, NJ
05.2022 - Current
- Engineered and productionalized a robust LSTM-based model using CDC data for vaccine hesitancy assessment, driving a 15% improvement in campaign effectiveness and informed decision-making.
- Leveraged advanced forecasting techniques (Prophet and VARMAX) to accurately predict 2026 vaccine demand, leading to a 12% reduction in resource wastage, equivalent to annual savings of $250,000.
- Developed a Random Forest classifier for a switch prediction model for HIV medicine, resulting in a 10% increase in patient retention and strategic decision-making accuracy.
- Led the conception and creation of interactive Power BI dashboards, facilitating comprehensive data-driven insights for stakeholders and aligning strategies effectively.
- Employed sophisticated segmentation techniques (CLTrees, lookalike classification, and Thompson sampling) to craft personalized targeting strategies, resulting in a 20% enhancement in patient engagement and satisfaction.
- Orchestrated the development of an MMX model for customer activation, resulting in a 30% reduction in marketing expenditure, simultaneously optimizing strategies and reducing costs.
Data Science Research Assistant
University Of Cincinnati (collaboration With P&G)
Cincinnati, OH
09.2021 - 04.2022
- Implemented an XGBoost classifier on a 1.6 million newsletter database, precisely identifying the top 20 relevant newsletters for R&D based on probabilities. The creation of a Power BI dashboard then aided in enhancing research focus and improving decision-making.
- Utilized advanced LSTM-based time series modeling and A/B testing techniques on data from ~1000 sensor-embedded devices, successfully detecting abnormal behavior for a hair care product in R&D. This resulted in an 8% reduction in development risks.
Analytics Consultant
IQVIA
Pune, India
06.2019 - 08.2021
- Managed daily operations of an AWS enterprise data lake, optimizing data storage and reducing operational costs by $1.5 million.
- Conducted A/B testing and ad hoc NLP analysis for a Fortune 50 healthcare client, generating actionable insights for improved decision-making.
- Developed an incentive compensation model (IC Model) for ~400 sales reps using advanced Monte Carlo simulation, enhancing sales teams' motivation and overall productivity.
Education
Master of Science - Data Science
University of Cincinnati
Cincinnati, OH 08.2021 - 08.2022
PG Diploma - Data Science
Nternational Institute of Information Technology B
Bangalore 01.2020 - 02.2022
Bachelor of Engineering Technology - Computer Science
Pune Univeristy
Pune, India 07.2015 - 05.2019
Skills
Statistical analysis
Additional Information
Available for relocation and travel
Timeline
Associate Data Scientist
Tiger Analytics
05.2022 - Current
Data Science Research Assistant
University Of Cincinnati (collaboration With P&G)
09.2021 - 04.2022
Master of Science - Data Science
University of Cincinnati
08.2021 - 08.2022
PG Diploma - Data Science
Nternational Institute of Information Technology B
01.2020 - 02.2022
Analytics Consultant
IQVIA
06.2019 - 08.2021
Bachelor of Engineering Technology - Computer Science
Pune Univeristy
07.2015 - 05.2019