Badges
Certifications
Work Experience
Machine Learning Engineer
Omdena•  February 2023 - May 2023
• Collaborated with a global team of 20+ change makers to develop an AI solution for Belyntic, including extensive research, bioinformatics tools utilization, data analysis, and extracting data • Devised and implemented a robust data pipeline, incorporating advanced machine learning algorithms, to preprocess and analyze data, resulting in a user-friendly Streamlit interface for easy access to top-ranked peptides for vaccine development • Worked closely with cross-functional teams, conducted rigorous testing and validation, and demonstrated problem-solving skills to • successfully integrate the AI solution into Belyntic's infrastructure within an 8-week timeframe
Data Science Intern
SwitchPitch•  June 2022 - September 2022
• Successfully completed project of web scraping pipelines in limited period to collect data from 11,500 startups’ web pages and delivered market research to target audience, identify potential risks, assess market opportunities • Engineered ETL workflow project from scratch utilizing Airflow to clean, transform collected data into Amazon Sagemaker to carry through startup websites classification into 85 distinct categories to aid Analytics Team in focusing on certain domains • Co-ordinated a Trending Keyword Spotting project that identified trending keywords from 10,000 startups applying Named Entity Recognition (NER), Topic Modeling, Classification and Association Rule to provide consumers with current competitive intelligence
Data Analyst
AMDOCS•  March 2020 - July 2021
• Formulated an end-to-end forecasting dashboard for order management applying Decision Tree and LSTM, and identified problems, enabling bug resolution by production development team and reduced deployment failures by 20% • Constructed and effectuated a data ingestion pipeline employing Python and Apache Kafka to collect orders data from live application and multiple sources ensuring efficient, reliable data transfer and processing • Supervised a team of four to develop order classification model to facilitate stuck order automation performed with Quine Python, SQL, and Machine Learning for application support staff to reduce manual efforts by 300 hours per month
Software & ML Engineer
Tech Mahindra •  February 2017 - February 2020
• Engineered a seamless AI architecture for CRM of Telecom domain, that resolves billing and sales stuck orders, ensuring 100% SLA compliance utilizing Python, Decision Tree, SVM and Spark API, AWS Kinesis • Shaped an automated report generation powered with machine learning prediction; graphical reports for the sales team, eliminating a 6-hour daily delay in business report preparation • Generated excel data analysis automation, consisting of downloading, pre-processing, calculations, visualizations taking advantage of Excel-Macros, Python, Shell-script, and selenium; Total 6 hours saved on daily basis for whole team • Award for taking initiative and creating a problem-solving web-tool that maintains SQL databases and visualizes data to avert issues in databases with over 1 billion records Award1,Award2
Education
Syracuse University, Syracuse
Applied Data Science, MS•  August 2021 - Present
Database management & Data Administration, Introduction to Data Science, Data Analysis-Decision Making, Machine Learning Concepts, Business Analytics, Natural Language Processing
University of Pune
Computer Science, BE•  August 2012 - June 2016
Data Structures & Algorithms, Data Mining Techniques, Business Analytics, Business Intelligence, Cyber Security, Operating System and Design, Object Oriented Programming