Hey, I'm Keshav
Data Scientist
I like to explore different domains using my analysis skills. I recently expanded my skill set in data science to topics including Natural language Processing, e-commerce, the retail industry, and neural networks, and I am enthusiastic to keep learning new methods in a challenging and fast-paced environment.
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Last Summer, I interned as a data science intern at AI Camp working as a data science instructor in the Stanford University STEM outreach program instructing 20+ high school students, introducing AI through hands-on training and building end-to-end Data Science/ML products. Moreover, I also worked as a data scientist in the Marketing team focusing my work on email marketing campaigns.
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Although I have always been focused on Data Science and Machine Learning, I try to involve myself in other domains as well.
Professional History
Past Positions
Aug 2022 - Present
Graduate Teaching Assistant
• Partnered with the professor to implement a suitable statistic course tailored for graduate students.
• Created homework assignments with the professor and organized weekly office hours for the 50 students.
May 2022Â - July 2012
Data Science Intern - AI Camp Inc.
• Parameterized and automated the data ETL processes for more than 3+ mil. marketing email data.
• Engineered the ETL processes of 40,000 schools data into a centralized source for marketing campaigns.
• Applied Customer and location-based analytics on 2+ mil. data to identify revenue growth insights.
• Worked in the Stanford University STEM outreach program instructing 20+ high school students, introducing AI through hands-on training and building end-to-end Data Science/ML products.
Jan 2020 - May 2020
Business Analyst Intern - Rajasthan Transformer and Power
• Performed data analysis and prepared reports on the past 28 Indian states to asses the demand for transformers.
• Authored reports and action plans using 1k failure data to mitigate the risk of transformer failures.
• Built a predictive model to forecast the lifetime of distribution transformers with an accuracy of 80%.
June 2019 - July 2019
Machine Learning Trainee - Webtek Labs
• Problem-solving in python, data manipulation, exploration and feature engineering using Python libraries.
• Analyzed and Segmented Mall customers dataset into 4 clusters using the K-means clustering algorithm.
• Implemented classification model using Convolutional Neural Network(CNN) with an accuracy of 91.4% on the dataset containing 25,000 Images of Animals.
Personal Details
I love music, I don't have any specific favorite genre. I am also an avid gamer. I love to play sports and multiplayer competitive games. And, best of all, I love learning, Since, I have started my graduate study, every day I push myself forward to learn something new and upgrade my arsenal.
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Currently, I am a data science graduate student at Indiana University Bloomington. I started my study in Fall 2021. So, my work basically revolves around attending my classes and exploring new skills, and building projects.
My Latest Projects
HDCR is a classification project to classify the capability of the applicant's repayment of the loan.
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Implemented Random Forest Classifier algorithms obtaining 91.09% accuracy.
The main objective was to implement text classification to detect the possibility of the email being an attack of phishing.
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Built Artificial Neural Network obtaining 71% accuracy on kaggle
For More Projects, please check out the GitHub profile:Â https://github.com/harshitlikhar
Get in Touch
Interested in learning more about me, my work, or how we can collaborate on an upcoming project? Feel free to reach out anytime, I would be more than happy to chat.
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3210 EÂ John Hinkle PL, Bloomington, IN