Priyanka Vijay Lahoti
BANGALORE
Summary
Senior Data Scientist with 4+ years of experience in building machine learning models on large scale data to drive business decisions.
Overview
4
4
years of professional experience
Work History
Data Scientist (G4)
PhonePe Pvt Ltd
Bangalore
11.2022 - Current
- Developed and deployed document detection and masking models (ID Card Detection, Aadhaar Masking) to replace external vendor IDFY, eliminating per-API-hit charges and streamlining production workflows.
- Built OCR models for PAN, Driving Licence, Voter, Passport, and Aadhaar cards, enhancing KYC processes with improved accuracy and reduced latency through multiprocessing, saving costs and optimizing compliance.
- Engineered a name-matching algorithm for KYC across multiple business areas, using regex and dynamic programming to increase accuracy and speed. Created a Streamlit app for stakeholders to set match thresholds.
- Led Video KYC liveness detection development using tflite, enabling real-time compliance checks in 2-3 seconds.
- Developing sanctions screening and proof of business verification algorithms to automate and secure onboarding, reducing manual errors and vendor costs.
- Collaborated with cross-functional teams (product, engineering, ml-platform) to deliver high-impact models and streamline deployment on PhonePe’s ml-platform.
Data Scientist (L3)
Gap Inc
San Francisco
04.2021 - 11.2022
- Demand Forecasting: Improved the accuracy of demand forecasting models by 3-5% for online and retail channels, addressing model bias with a custom Huber loss function.
- Mentorship: Mentored an intern on building a demand forecasting model using encoder-decoder LSTM architecture.
- Product Similarity POC: Developed a proof of concept to identify similar products using only images, leveraging K-means clustering and CNNs in TensorFlow.
- Model Optimization: Reduced SAS model testing time by 50% through Linux-based automation.
- Performance Measurement Pipeline: Designed a Spark SQL-based pipeline to compare model performance weekly on millions of records, enabling faster, data-driven decisions for brand partners.
Data Scientist (Intern)
Ralph lauren
New York
09.2020 - 12.2020
- Return Propensity Model: Developed a machine learning model in AWS using Python to predict item return propensity, leveraging CatBoost regression and logistic regression for enhanced accuracy.
- Model Explainability & Calibration: Utilized SHAP values for model interpretability and calibrated binary classification probabilities to reflect true return likelihood, improving decision-making accuracy.
Data Scientist (Intern)
Assurant
New York
06.2020 - 11.2020
- Image Classification & Object Detection: Developed a crack and scratch detection model using UNet in Keras on Azure Databricks, achieving 90% precision in identifying screen defects.
- Call Volume Forecasting: Collaborated with Assurant's Global Automotive team to improve call volume forecasting across 11 contact types, reducing forecasting error by 70% (from 10% to 3%) using ARIMA, ETS, and LSTM models in Azure Databricks.
Education
Master of Science - Data Science
Columbia University in The City of New York
New York, USA12-2020
Master of Science - Mathematics & Scientific Computing (Gold Medalist)
NIT Warangal
Warangal, India05-2018
Skills
- Machine Learning
- Deep learning
- Python, SQL, Spark expertise
- Linear algebra
- Statistical analysis
- Probabilistic models
- Problem-solving abilities
- Teamwork and communication
Timeline
Data Scientist (G4)
PhonePe Pvt Ltd
11.2022 - Current
Data Scientist (L3)
Gap Inc
04.2021 - 11.2022
Data Scientist (Intern)
Ralph lauren
09.2020 - 12.2020
Data Scientist (Intern)
Assurant
06.2020 - 11.2020
Master of Science - Data Science
Columbia University in The City of New York
Master of Science - Mathematics & Scientific Computing (Gold Medalist)
NIT Warangal
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