Data Analyst with less than a year in Data Analysis & Machine Learning.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science enthusiast with a passion for Data Analysis and Data Science. Proficient in Data Analysis, Machine learning and Statistical modeling, I strive to leverage data-driven insights to tackle complex real-world challenges and drive meaningful impact.
Shri Sant Gadge Baba College
B. Tech
August 1, 2021 – June 30, 2025
St. Aloysius Convent High School
Class X · MHSE
N/A – May 31, 2019
K. Narkhede Vidyalaya, Bhusawal
Class XII · MHSE
N/A – May 31, 2021
Deloitte
Data Analyst
May 1, 2025 – June 1, 2025
India
MainFlow
Data Science
January 1, 2025 – February 1, 2025
India
CodSoft
Data Analyst
March 1, 2024 – April 1, 2024
India
Churn Analysis of Customer Data
June 30, 2026 – Present
Analysed 50K+ customer records of the Neo company to uncover churn trends, and identified strategies to improve retention by 10%+. Implemented K-Means clustering to segment customers into 5 groups basis demographics & behavioral patterns.
Gmail Automation via Voice Commands
June 30, 2026 – Present
Built a virtual assistant handling 80% of Gmail tasks via voice commands, cutting email management time by 30%. Reached 95% speech recognition accuracy in 50+ user tests, enabling smooth interactions and task completion. Used Gmail API to process 100+ emails per batch, streamlining workflows and improving operational efficiency.
Heart Disease Prediction
June 30, 2026 – Present
Analysed the UCI Heart Disease dataset with 20K+ records, identifying key correlations through statistical insights. Visualized patient data trends, including disease presence by age & built a logistic regression of 85% accuracy.
Census Income Project
June 30, 2026 – Present
Conducted exploratory data analysis on a dataset with 30K+ rows, uncovering key insights through visualizations. Built classification models using algorithms like Logistic Regression and Random Forest, achieving 85%+ accuracy.
Credit Card Fraud Detection Project
June 30, 2026 – Present
Analysed a credit card fraud dataset with 280K+ transactions, identifying fraud cases comprising 0.17% of data. Built & evaluated Decision Tree and Random Forest models, achieving 99% accuracy & optimizing fraud detection.
Data Science certification program
IIT Madras (Intellipaat)
January 1, 2024 – Present
SQL expertise
Intellipaat with IIT Madras
January 1, 2024 – Present
Python certification
Coursera
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's involvement in diverse extracurricular activities (chess, cricket, cultural program leadership) indicates a well-rounded individual with strong interpersonal and leadership skills. The academic and professional projects show a proactive approach to learning and applying data science concepts. The internships at Deloitte, MainFlow, and CodSoft demonstrate exposure to different industry contexts, suggesting adaptability and a willingness to engage with varied challenges. This breadth of experience and engagement aligns well with a collaborative and dynamic work environment.
Soft Skills & Operational Fit
The candidate's extracurricular activities, such as leading cultural programs and managing teams, suggest strong leadership, organizational, and teamwork skills. These are valuable for operational fit in a data analyst role, especially when collaborating on projects or presenting findings. The ability to manage events with 2000+ attendees and teams of 50+ members indicates good project management and communication potential.