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Data Analyst with less than a year in Data Science & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate and adaptable Data Science and Machine Learning enthusiast, with hands-on experience in Python, MS Excel, MY SQL, Power BI, Tableau and various data science libraries like Numpy, Pandas, and Matplotlib. Equipped with strong interpersonal and teamwork skills, I excel in dynamic environments. Completed my B. Tech in Computer Science, I am eager to apply my knowledge and contribute to innovative projects in data-driven roles.
Guru Nanak Institutions technical campus
Bachelor of Technology · Computer Science
August 1, 2021 – June 30, 2025
MS Junior College
Intermediate (MPC)
June 1, 2019 – May 31, 2021
Krishnaveni Talent School
SSC
June 1, 2018 – May 31, 2019
Full Stack Academy
Data Analyst Intern
November 1, 2025 – Present
Hyderābād, Telangana, India
learnWik solutions Pvt. Ltd.
Artificial Intelligence Intern
September 1, 2023 – November 1, 2023
Bengaluru, Karnataka, India
Head Impact Detection using Machine Learning
June 1, 2026 – Present
Developed a machine learning model to detect and classify head impacts using accelerometer and gyroscope sensor data. Implemented real time impact severity visualization to support concussion risk assessment. Trained and evaluated supervised learning models using Python to improve detection accuracy. Skills: Python, SQL, Machine Learning, Data Visualization etc.
Fuel Consumption Model using Machine Learning
June 1, 2026 – Present
Developed a model to predict fuel consumption, using Python (Pandas, Scikit-Learn) and machine learning techniques to analyse efficiency factors. Improved accuracy through data preprocessing, feature selection, and hyperparameter tuning. Skills: Python, SQL, Machine Learning, Data Analysis, Model Evaluation.
Reliance Mart Sales Dashboard
June 1, 2026 – Present
Designed an interactive sales dashboard for Reliance Mart using Microsoft Excel to analyze business performance. Cleaned and structured raw sales data using Excel formulas and functions (SUMIFS, COUNTIFS, IF, VLOOKUP/XLOOKUP). Built Pivot Tables and Pivot Charts to summarize sales by region, store, product category, and time period. Created dynamic visualizations including bar charts, line charts, pie/donut charts for clear insights. Implemented slicers and filters to enable real-time data interaction and drill-down analysis.
PowerBI Workshop
Unknown
June 1, 2026 – Present
Internship Common Aptitude Test (ICAT)
Unknown
June 1, 2026 – Present
Python for Data Science
NPTEL (IIT Madras)
June 1, 2026 – Present
Office Master
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in applying data analysis and machine learning to various problems (fuel consumption, head impact detection, sales analysis). This diversity suggests an adaptable mindset. The internships, particularly the current Data Analyst Intern role, align well with the target role. However, the candidate is still pursuing a Bachelor's degree, indicating a junior level of experience. The cultural fit would depend on the team's capacity to mentor and integrate a less experienced but enthusiastic individual.
Soft Skills & Operational Fit
The candidate lists a wide range of soft skills including Analytical Skills, Communication Skills, Decision Making, Leadership, Management Skills, Negotiation, Problem Solving, Time Management, and Critical Thinking. While these are valuable, the provided data does not offer sufficient evidence to assess the depth or application of these skills in a professional context. The candidate's project descriptions are clear, suggesting good communication in written form. The project diversity and internship experiences indicate a willingness to learn and adapt, which are positive operational fit indicators.