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Click here or scroll down to respond to this candidate Candidate's Name
EMAIL AVAILABLE | https://LINKEDIN LINK AVAILABLE | https://github.com/Candidate's Name | +1 (Street Address )-391-5780
WORK EXPERIENCE
Rutgers Institute for Health New Brunswick, NJ
Data Science Research Intern Jun 2023 Oct 2023
Engineered a pipeline for genomic exploration, leading to the discovery of 18 biomarkers in cardiovascular disease prediction with
an accuracy rate of 80%
Optimized biomarker identification through Recursive Feature Elimination, Chi-square test, and ANOVA methodologies
improving precision by 20%
Introduced a novel metric to evaluating biomarker significance for prediction of complex traits, enabling the creation of personalized
profiles for advance disease prediction analysis
Computed top 10% multi-genomic data-based profile using Support Vector Machine, XGBoost, RandomForest classifiers
Cognizant Technology Solutions (Client - Merck) Pune, India
Programmer Analyst (Data Engineer) Nov 2020 Aug 2022
Reduced business impact by 30% by expediting immediately over workflow failures using PowerCenter Workflow Monitor
Collaborated in updating ETL workflows and mappings using PowerCenter Designer
Partnered with cross functional teams to develop and enhance ERP system, resulting in a 25% improvement
Followed an Agile methodology and maintained documentation using ServiceNow, Jira, HP Application Lifecycle Management
TECHNICAL SKILLS
Skills: Hypothesis testing, Data Analytics, A/B testing, Data Visualization, Data Modeling, Deep Learning, Database Management
Programming Languages: Python, R, Javascript, Java, C/C++
Tools & Technologies: Git, AWS, Linux, PostgreSQL, MongoDB, Tableau, MySQL, Power BI, MS Excel
Libraries and Frameworks: Sklearn, Matplotlib, Seaborn, LangChain, Tensorflow, HuggingFace, Flask, Streamlit, Node.js
EDUCATION
Rutgers University New Brunswick, NJ
Master of Science in Data Science Sep 2022 - May 2024
Savitribai Phule Pune University Pune, India
Bachelor of Engineering in Information Technology Aug 2016 Nov 2020
PROJECTS
RapidReads: TLDR Extraction from Reddit Threads with Neural Networks Dec 2023
Implemented complex neural networks and pre-trained models for summarizing over 180k Reddit threads
Transitioned to abstractive summarization using sequence-to-sequence models, improving summary coherence by over 30%
Leveraged BART and T5 models, enhancing summary quality, achieving ROUGE-1 and ROUGE-2 scores above 50%
Telecom Customer Churn Prediction May 2023
Composed and refined machine learning models and ensemble models, starting with the creation of a baseline models
Enhanced baseline model accuracy by determining the optimal threshold, achieving a 15% increase in the F1 score
Conducted hyperparameter tuning on models, achieving a 20% improvement in prediction accuracy and efficiency
Twitter Search Application May 2023
Designed efficient pipeline schema to store Tweets data into a MySQL and MongoDB
Led the design and implementation of pipeline to synchronize data flow between the two databases seamlessly
Implemented Cache layer and Indexes to reduce wait time for retrieval of results by 40%
Designed User Interface using Flask framework to display the tweets in an orderly way
LEADERSHIP EXPERIENCE
Involved with Rutgers Office of Disability Services to help conduct and proctor examinations for the differently abled students
Represented the University team to secure a 2nd position in Avishkar-19 Inter-University competition for technology innovations
Actively contributed as a leader in the Rotaract Club of Pune Zenith focusing on community service
PUBLICATIONS
DeGroat, W., Mendhe, D., Bhusari, A., Abdelhalim, H., Zeeshan, S., Ahmed, Z. (2023). IntelliGenes: "A novel machine learning
pipeline for biomarker discovery and predictive analysis using multi-genomic profiles." Bioinformatics.
Kulkarni, S., Samant, R. M., & Bhusari, A. (2020). Sherlock: An Ensemble based Deep Learning Framework for Fake News
Detection. International Journal of Computer Applications, 176(22), 37-42.
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