Highly analytical and results-driven M.Sc. candidate in Mathematics and Scientific Computing with a strong foundation in data science, machine learning, and advanced analytics. Proven ability to leverage Python, SQL, and Power BI to develop predictive models, optimize strategies, and generate actionable insights from complex datasets. Eager to apply expertise in data-driven problem-solving and operational efficiency to a challenging Data Scientist or Machine Learning Engineer role.
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M.Sc.
Mathematics and Scientific Computing
Grade: CPI: 7.67
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B.Sc. Honours
Mathematics
Grade: CPI: 9.19
Python
Summary
Analyzed 550,000 transactions to identify product distribution, customer preferences and discount effectiveness.– Optimized pricing strategies by identifying opportunities to increase profitability from 3 categories.– Generated actionable insights to foster sustainable revenue growth in 10 best-selling p
Python, Machine Learning
Summary
Implemented data-driven customer segmentation using PCA and KMeans on 9000 credit card holders.– Derived 5 key principal components and identified 4 distinct customer segments through clustering analysis.– Recommended strategies to boost engagement and improve payment compliance across consumer
Microsoft Power BI
Summary
Monitored 5000 call center interactions with a focus on operational efficiency and customer satisfaction.– Designed dashboards to track KPIs like call volumes, average speed of answer and satisfaction ratings.– Evaluated agent performance, identifying top performers with 90.64% efficiency and targeting improvement areas
Python, Machine Learning
Summary
Developed a predictive maintenance system to identify machine failures from simulated industrial sensor data. Trained, scaled and evaluated multiple classifiers to prevent overfitting and boost model accuracy to 98.34%. Delivered a model to support real-time decision-making, reduce ma
Scikit Learn, Pandas, Numpy, Matplotlib, Seaborn.
Python, SQL, C.
Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering.
Microsoft Power BI, Tableau.
Data Cleaning, Preprocessing, Feature Engineering, Model Building, Evaluation, Tuning.
Exploratory Data Analysis (EDA), Dashboard Creation, Insights Generation.
Effective Communication, Teamwork & Collaboration, Leadership, People Management.
Joint Secretary
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Summary
Led and coordinated society events, workshops, and competitions; managed team activities, facilitated student engagement, and promoted mathematical awareness on campus.
Vice President
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Summary
Led community outreach and youth development programs, driving social impact and expanding organizational reach to create social impact.
Promotion and Research Manager
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Summary
Led market research initiatives and promotional campaigns; analyzed audience engagement, optimized social media strategies, and enhanced brand visibility.
HR Manager
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Summary
Managed recruitment, employee relations, and HR operations; implemented policies, coordinated training programs, and supported organizational growth.
Awarded By
Kaggle
Recognized as a Notebook and Discussion Expert on Kaggle, achieving a global rank of 787 for significant contributions and expertise within the data science community.
Awarded By
HackerRank
Attained a 5-Star badge on HackerRank, demonstrating exceptional proficiency and problem-solving skills in SQL and Python programming.
Awarded By
LeetCode
Acquired the Introduction to Pandas badge on LeetCode, showcasing strong proficiency in utilizing the Python Pandas library for efficient data manipulation and analysis.
Awarded By
Indian Institute of Technology Joint Admission Test (IIT JAM)
Achieved an All India Rank (AIR) of 727 in the highly competitive IIT JAM Mathematics examination, demonstrating strong aptitude in advanced mathematics.
Issued By
Stanford University
Issued By
University of California, Davis
Issued By
Microsoft
Issued By
IBM