Data Analyst with less than a year in Data Analysis & Machine Learning
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Data Analyst with hands-on experience in Python, SQL, Excel, Power BI, and Machine Learning. Skilled in data cleaning, exploratory data analysis (EDA), dashboard development, KPI reporting, ETL processes, and predictive analytics. Experienced in transforming raw data into actionable insights through visualization and business intelligence solutions. Seeking an opportunity to contribute analytical and problem-solving skills in a data-driven environment.
St. Joseph's College (Autonomous)
M.Sc. · Data Science
August 1, 2024 – June 30, 2026
Holy Cross College (Autonomous)
Bachelor · Computer Applications
August 1, 2021 – June 30, 2024
Code Bind Technologies
Intern
December 1, 2025 – March 1, 2026
India
Elite Tech Intern
Data Analyst Intern
May 1, 2025 – June 1, 2025
India
Netflix Content Analytics Pipeline - Exploratory Data Analysis
June 1, 2026 – Present
• Built an end-to-end analytics pipeline using Python and Power BI. • Performed data cleaning and EDA on Netflix datasets containing 8,000+ records. • Designed interactive dashboards to analyze genre distribution, release trends, and country-wise content insights. Tools: Python, Pandas, Power BI, Matplotlib
Sales & Profit Analysis Dashboard - Excel-Based Business Analytics
June 1, 2026 – Present
• Developed an Excel dashboard using Pivot Tables, Charts, and KPI reporting. • Analyzed sales and profitability trends to identify high-performing categories. • Automated reporting workflows to improve business decision-making. Tools: Excel, Pivot Tables, Charts, Slicers
Railway Chatbot System - NLP-Based Query Automation
June 1, 2026 – Present
• Developed an NLP-based chatbot system for handling railway information and customer queries. • Implemented text preprocessing and intent classification techniques to improve response accuracy. • Integrated MySQL database operations and automated query handling for faster information retrieval. Tools: Python, NLP, MySQL
AI Career Recommendation System - Hybrid ML Pipeline
June 1, 2026 – Present
• Engineered a hybrid ML pipeline using Random Forest and TensorFlow models. • Applied feature engineering and multi-label classification techniques. • Developed a Streamlit application for personalized career recommendations and skill-gap analysis. Tools: Python, Scikit-learn, TensorFlow, Streamlit, Pandas
Agriculture College Operations Dashboard - Power BI Analytics
June 1, 2026 – Present
• Created centralized Power BI dashboards for students, staff, hostel, farm, and poultry operations. • Built KPI reports to enhance monitoring and operational efficiency. • Delivered data-driven insights through interactive visualizations. Tools: Power BI, Excel
Python for Data Science
Great Learning
June 1, 2026 – Present
Essential Excel with Shortcuts
Udemy
June 1, 2026 – Present
Data Science & Analytics
HP LIFE
June 1, 2026 – Present
Power BI Workshop
Bosco Soft Technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a breadth of interests within data analysis, ranging from business analytics to NLP and ML recommendation systems. This diversity, coupled with internships, suggests a proactive and learning-oriented individual who could integrate well into a team that values continuous learning and varied problem-solving approaches. The target role of Data Analyst aligns well with the candidate's demonstrated skills and project focus.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Problem Solving', 'Communication', and 'Team Collaboration' as soft skills. The project descriptions and internship experiences suggest an operational fit for roles requiring data manipulation, visualization, and basic machine learning application. The candidate has worked on diverse projects, indicating adaptability and a problem-solving mindset.