Atharva Kale Email & Phone Number

Pune, MH, IN

Pune, Maharashtra, India

Pune, Maharashtra, India

• Part of Merck and Co.'s Data Strategy team, specializing in data analytics and market research.
• Developing business rules and methodologies for calculating persistence and time on treatment for a billion-dollar cancer immunotherapy drug in metastatic Non-small cell lung cancer patients.

Pune, Maharashtra, India

• Part of Merck and Co.'s Data Strategy team, specializing in data analytics and market research.
• Analysed longitudinal patient data from leading healthcare data providers (IQVIA, Optum, Komodo Health, etc) in diverse areas such as vaccines, pharma, and oncology.
• Developed impactful KPI dashboards for major HPV and pneumococcal vaccines, COVID-19 drugs, tracking vaccination rates and campaign impacts.
• Utilized Social Determinants of Health data to identify crucial social and behavioral factors affecting low vaccination rates, leading to targeted solutions in communities.
• Applied NLP techniques to unstructured data (physician notes) to find key reasons for use cases like deferrals in pediatric vaccines and regimen switches in Atherosclerosis patients.
• Formulated business rules to identify Pulmonary Arterial Hypertension (PAH) patients, conducting exploratory data analysis (EDA) for an upcoming PAH drug launch.

Pune, Maharashtra, India

• Developed classification models to predict rainfall probability in Santa Cruz region using 48 years of raw daily meteorological data (1969-2017)
• Attained optimal classification accuracy (up to 93%, F1 Score up to 91%) for predicting next-day rainfall using a Random Forest model with input from the preceding 3 days' weather data
• Presented research work at National Space Science Symposium organized by IISER, Kolkata.

Pune, Maharashtra, India

• Contributed to two teams at Validus Analytics during a semester internship, specializing in data augmentation techniques.
• Implemented Variational Autoencoders and their extensions, including Vector Quantized A.E., using PyTorch within the Deep Generative Algorithms team to augment a retail products dataset.
• Applied probabilistic programming skills in the Bayesian Model Building team, utilizing PyMC3 to construct Bayesian Statistical models for effective augmentation of small real-world datasets.
• Strengthened foundational knowledge through self-study of essential topics from C.M. Bishop's "Pattern Recognition and Machine Learning," including Introduction, Probability Theory, Probability Distributions, Linear.

India

• Vision Inspection System development.- Contributed to the Computer Vision aspect of the system, focusing on label detection and localization using object detection and OCR. - Designed, tested, and executed algorithms.

India

• Project - Pick to Light- Developed a POC Android application integrated with the Pick-to-Light hardware for Warehouse inventory management.

India

• Project - Smart Temperature Monitoring for COVID-19 (Funded) - Developed a fully automatic Smart Temperature Monitoring system to record and track the body temperatures of employees entering the campus. - The system.

India

Selected and Lead a team of students from all across India.Work during Internship include: - Study and Implementation of Google mediapipe hands model.- Design of Hand Gesture Recognition Algorithm.- Development of CGC Desktop application.

India

• Led a team of three in incorporating drug response data into a 62-gene panel of Breast Cancer patients, aiming to uncover the correlation between genetic profiles and treatment efficacy.
• Guided the team in developing technical proficiency in Python and Excel for organizing, transforming, and structuring data to align with the company's machine-learning algorithms.

Maharashtra, India

Intelligent Customer Help Desk with Smart Document UnderstandingWorked to develop a Smart ChatBox which when the question falls outside of the scope of the pre-determined question set,the application passes the question onto Watson Discovery Service, which has been pre-loaded with the device’s owners manual. We return relevant sections of the owners manual.