Lead project requirements gathering, algorithm proposal and code implementation, collaborating across departments and data sources ensuring data quality and project success
Integral member of Kyndryl’s CIO and CDO Data science and AI team, pioneering data platforms, process automation, and python-based solutions
Implemented process improvements that led to significant time savings and increased accuracy in deliverables.
Currently specializing in complex data analysis and machine learning model development for predictive business metrics to improve decision-making
Commenced as Associate Trainee engineer and contributed to mainframe automation and development in initial phase
Achieved two promotions:
Promoted from Associate Trainee Engineer to Associate Data Scientist in 2021
Further promoted to Senior Associate (Data Science and AI) in 2022
Education
Master of Science - Computer Science (AI Specialization)
Case Western Reserve Univerisity
Cleveland, Ohio
2026
Bachelor’s Degree in Electronics And Telecommunication Engineering -
MGM Jawaharlal Nehru Engineering College
Aurangabad, Maharashtra
02.2020
Skills
Collaborative Research: Excel in cross-functional teams
Research & Analysis: Proficient in data analysis and literature reviews
Effective Communication: Clear communication to technical and non-technical audiences
Problem-Solving: Strong analytical skills for resolving challenges
Meticulous Organization: Attention to detail in data and documentation
Certification
Microsoft certified: (Azure Fundamentals)
Data Science Bootcamp 2021 (Udemy)
IBM Data Science Foundation Certifications (Levels 1 & 2, Tools and Methodologies)
IBM Cognitive Practitioner
IEEE Students' Council Joint Secretary (2018-2019)
Founding Member, Jinicakes Startup
PROJECTS
AI Account Insights: Segmented client data and applied machine learning to predict business metrics.
BCP Automation: Automated manual file processing, saving 95% of processing time and resources and significantly reducing human error.
OH1 (Data Comparison across globe): Analyzed data discrepancies and implemented real-time notification using message bot for swift resolution.
Data Handling & Migration: Improved data quality and migrated data to a new platform (Azure), ensuring compliance with new data standards.
Asset Market Value Evaluation: Analyzed financial data to determine the valuation and ownership of client assets, ensuring accurate financial reporting.
Payment Term Probability/Prediction: Employed data analysis techniques to decipher missing payment term data and improve customer payment prediction.
TECHNICAL SKILLS
Programming language: Python, C, C++, Matlab, Embedded C
Database: MySQL, SparkSQL
Tools and packages: Power BI, Jupyter notebook, visual studio code, Keras TensorFlow, Pytorch, Keras, Numpy, Pandas, Pycharm, matplotlib, Google Colab and seaborn.
Time series statistical modeling: Prophet, Auto-Regressive (AR), Moving Average (MA), ARMA, non-seasonal and seasonal ARIMA.
Data Analysis: Statistical analysis, exploratory data analysis, data cleaning, Feature scaling, Feature engineering, predictive power score, data visualization (building AI-powered dashboards)
Natural language processing: Text preprocessing, tokenization, N-grams, NLTK, spaCy
Timeline
Senior Associate, Data Science and AI
Kyndryl India Pvt. Ltd. (formerly IBM)
01.2020 - Current
Master of Science - Computer Science (AI Specialization)
Case Western Reserve Univerisity
Bachelor’s Degree in Electronics And Telecommunication Engineering -
Senior Lead, Software Architecture (Automation Architect) at Kyndryl India Pvt Ltd (IBM India Pvt. Ltd.)Senior Lead, Software Architecture (Automation Architect) at Kyndryl India Pvt Ltd (IBM India Pvt. Ltd.)