Technical Skills
Languages and Frameworks – Python (Pandas, PySpark, NumPy, SK-Learn, Matplotlib, Seaborn, OpenCV, TensorFlow, Django), R (Dplyr, Tidyr, Ggplot2), Java (Spring Boot, Hibernate, Hadoop), CSS (Bootstrap), HTML, JavaScript
Cloud Services – AWS (Glue, QuickSight, Athena, EC2, RDS, Aurora, Lambda, Sagemaker, S3), GCP (BigQuery, Data Studio, AutoML, Video AI, Text-to-speech, Vision, API gateway, Compute Engine, Cloud SQL), Azure (Virtual Machines, Cache for Redis, Visual Studio Code), Snowflake, Hue
Data Systems and BI Tools – SQL (Postgres, MSSQL, MySQL, Presto), Neo4j, MS Power BI, Tableau, Domo, Superset, MS Excel, Weka
Education
Northeastern University, Boston
Graduating: May 2023
CGPA: 3.67
Coursework: Introduction to Data Management Processing, Supervised Machine Learning, Unsupervised Machine Learning, Natural Language Processing, Information Retrieval
University of Mumbai, Mumbai
Graduated: May 2019
CGPA: 3.83
Coursework: Algorithms, Machine Learning, Artificial Intelligence, Database Management, Soft Computing, Theory of Computation Science, Human Machine Interaction
Work Experience
Product Analyst Co-Op
McKinsey & Company
July 2022 – December 2022
- Conducted analysis of critical incident statistics, leading to the development of new KPIs and strategies that reduced the workload for the operations team by 67%.
- Designed dashboards to highlight major service outage incidents, enabling stakeholders to effectively supervise and reduce resolution efforts for identified commonly occurring outages by 21%.
- Created and implemented a sentiment and engagement analysis model on Slack data, resulting in the automation of the process of answering commonly asked questions with the use of bots and the identification of 65 consumer pain points across 38 emerging themes.
Data Scientist
Markytics
January 2020 – August 2021
- Designed and implemented data-driven business intelligence dashboards for an agri-tech company, resulting in a 13% increase in efficiency for defining monthly targets, monitoring sales, and optimizing machinery performance.
- Created a weekly newsletter for shareholders to improve performance transparency and facilitate the evaluation of marketing initiatives.
- Developed and deployed a recommendation system for a bank’s existing customers, leading to an 8.2% increase in customer retention.
- Created a data extraction tool using advanced image processing, detection, and OCR extraction techniques, reducing process runtime by 24 hours for Indian government document verification.
- Developed a centralized repository and anomaly detection platform using sensor readings from an aseptic packaging material factory, resulting in a 17% reduction in delivery damages.
Data Science Intern
Markytics
June 2019 – December 2019
- Developed a platform for audio transcription and text translation of video lectures, helping a professor reach multilingual students through virtual lectures.
- Created a loan decisioning web platform for a bank to streamline paperless loan sanctioning and developed a machine learning model for efficient loan default prediction, resulting in a 17% decrease in bad credit and the identification of high-risk customers.
Volunteering Experience
Analysis & Research Intern
Commondove
Oct 2019 – March 2020
- Designing and implementing marketing strategies to promote the Commondove app
- Collaborating with various NGOs to provide a platform for volunteer opportunities
- Maintaining the app’s database, ensuring its accuracy and completeness
- Organizing and coordinating various events and workshops related to social causes
- Monitoring app performance, analyzing user feedback, and making improvements as necessary
- Developing content for the app, including educational resources and updates on social causes
- Maintaining the app’s social media presence, including regular posts and updates
- Supporting the overall mission of Commondove by participating in meetings, brainstorming sessions, and other initiatives as necessary.