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Data Analyst with 2+ years in AI & Machine Learning
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Detail-oriented Data Analyst with a B.Tech in Artificial Intelligence & Machine Learning (CGPA: 6.73) and 5+ months of hands-on internship experience in Data Science and AI. Proficient in Python, SQL, Excel, Power BI, Pandas, and NumPy with a strong ability to collect, clean, analyze, and visualize large datasets to derive actionable business insights. Experienced in building predictive models, automating data pipelines, and delivering data-driven reports to stakeholders. Passionate about turning raw data into meaningful decisions.
Swarnandhra Institute of Engineering and Technology, Narasapur
B.Tech · Artificial Intelligence & Machine Learning
August 1, 2020 – June 30, 2024
Aditya Junior College, Palakol
Intermediate (Class XII)
June 1, 2018 – May 31, 2020
Sunshine School, Palakol
Secondary Education (Class X)
June 1, 2017 – May 31, 2018
YBI Foundation
Artificial Intelligence Intern
October 1, 2023 – December 1, 2023
India
Pantech Solutions
Data Science Intern
May 1, 2023 – July 1, 2023
Chennai, Tamil Nadu, India
Billing & Sales Data Analysis System
September 1, 2025 – May 1, 2026
Developed a Python-based billing system with integrated sales data tracking and GST reporting for a retail client. Automated generation of itemized sales reports and monthly summaries using MySQL queries and Python scripts. Built Advanced Excel reports with Pivot Tables, VLOOKUP formulas, and dynamic charts; enabled client self-service analysis without technical support. Reduced manual data entry and reporting time by ~60%, improving operational efficiency for the client.
View ProjectSentiment Analysis on Social Media Data
March 1, 2025 – August 1, 2025
Collected and processed 100,000+ social media posts for a digital marketing agency to track brand sentiment over time. Applied NLP techniques (NLTK, HuggingFace Transformers) to classify posts as Positive, Negative, or Neutral with high accuracy. Built automated weekly sentiment reports using Python, saving the client ~5 hours/week of manual analysis work. Visualized sentiment trends using time-series charts and word clouds delivered via Power BI-style dashboards.
View ProjectFace Mask Compliance Detection & Reporting
October 1, 2024 – February 1, 2025
Built a CNN-based detection system and generated compliance analytics reports for a facility management client. Analyzed detection logs to produce daily/weekly compliance rate summaries with trend charts. Achieved 95% detection accuracy; delivered structured reports enabling the client to monitor safety compliance over time.
View ProjectSymptom-Based Disease Prediction Analysis
June 1, 2024 – September 1, 2024
Collected and cleaned healthcare symptom datasets; handled class imbalance and missing values for reliable model training. Performed statistical analysis and feature importance ranking to identify the most predictive symptom patterns. Compared multiple classification models (Decision Tree, Random Forest, Naive Bayes); documented performance metrics for each. Visualized prediction confidence and symptom correlations using heatmaps and bar charts in Matplotlib/Seaborn.
View ProjectCustomer Churn Prediction & Analysis
January 1, 2024 – May 1, 2024
Analyzed 50,000+ customer records to identify churn drivers using Pandas, NumPy, and Scikit-learn. Performed EDA, correlation analysis, and feature engineering; visualized findings with Matplotlib and Seaborn dashboards. Built a Random Forest classifier achieving 90% accuracy; translated model output into actionable business recommendations. Conducted hypothesis testing and A/B analysis to validate churn patterns; delivered final report with retention strategy recommendations.
View ProjectMicrosoft Azure Fundamentals Certification
Microsoft
June 1, 2026 – Present
Python 101 for Data Science
IBM Developer Skills Network
June 1, 2026 – Present
Machine Learning Crash Course
Google Developers
June 1, 2026 – Present
Data Analysis with Python
freeCodeCamp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic and freelance work, showcases adaptability and a broad interest in applying data analysis across different domains (customer churn, sentiment analysis, healthcare, billing, compliance). Their academic background in AI & ML, coupled with practical internships, aligns well with a data-driven culture. The certifications further indicate a commitment to skill development and staying current with industry tools, which is a positive cultural fit for a growth-oriented team.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude through freelance projects and certifications, indicating self-motivation and a desire for continuous learning. Their project descriptions highlight an ability to translate technical findings into business recommendations and automate processes, suggesting a results-oriented approach. The experience with client-facing freelance work implies good communication and problem-solving skills in a practical context.