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Komal Londhe

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Komal Londhe
Content
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Portfolio
Komal Prakash Londhe's
Transforming data into action: Powering innovation with insights
Building my future
Check out my
About
Hello, I'm Komal
Bridging Insights and Innovation | Former Software Engineer Turning Data into Solutions.
Data science grad with a passion for data engineering, data analytics, and machine learning.
Ready to bring sleek and polished style to your team! As a creative professional, I thrive on working with people and companies who appreciate and value technology and creativity.
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Education
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Pune
University
Computer Engineering and Technology
Bachelor of Engineering (BE),
2014 - 2018
University of Maryland, Baltimore County
Data Science
Masters of Professional Studies (MPS), 2021 - 2023
Maryland Technology Internship Program (Maryland Start-up, Ardent Privacy)
Internship - Machine Learning Intern
May - November 2022
Experience
Aug 2023 - Present
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June 2018-Aug 2021
Software Engineer, Larsen and Toubro Infotech (LTI)
Skills - · SQL · Python · SDLC · Agile · Scrum · Java · Automation
May 2022 - Nov 2022
Machine Learning Intern,
Ardent Privacy
Skills - · Python · Data Engineering · Data Minimization · Bitbucket · GitHub · Insomnia
· Machine Learning
Mar 2022 - May 2023
Office Assistant,
University of Maryland, Baltimore County (UMBC)
Skills - · Microsoft Office · Google Docs · Communication
· Administrative Assistance
· Report Writing
Data Science Researcher,
University of Maryland, Baltimore County (UMBC)
Skills - · Tableau · Data Science · Power BI · Data Pipeline · Report Writing · Leadership
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Certifications
Publication
Reduction in the Latency of Linux-RTXG Using Optimal Scheduling Algorithm, International Journal of Pure and Applied Mathematics [Published], April-2018.
https://acadpubl.eu/hub/2018-118-24/2/244.pdf
Project Gallery
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Virtual Assistant for Travel Planning
Virtual travel assistant using ChatGPT, integrated Google Travel API, and built a recommendation system for personalized itineraries, hotels, flights, and tourist attractions.
Credit Card Complaints Analysis
Intent classification and emotion categorization on CFPB complaint data with zero-shot transformers and Stacking ML approach for intent prediction
Google Play Store Data Analysis
Analyzed 6 million rows of Google Play Store data using PySpark and DBFS
Customer Churn Prediction
Identify key indicators for customer churn analysis reducing the risk of false positives and achieved a high accuracy of multiple models demonstrating expertise in model validation
My Leisure Pursuits
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Administered in social service projects, teaching technical knowledge to orphan students
National Service Scheme (NSS)
Member
Association of Students for Computer Department (ACES)
Led team to coordinate college events; organized and secured materials for the event, coordinated with college
authorities and delegated roles to help make the events a success
Event Manager
(Team-Cultural)
American red cross
Volunteer - member
Administered social service projects, teaching technical knowledge during critical relief efforts.
Organizations
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Contact Info