Data Analyst with less than a year in Data Analytics, Machine Learning & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent Computer Science Engineering graduate with hands-on experience in Data Analytics, SQL, Python, Power BI, and Machine Learning. Developed data-driven projects including Student Performance Prediction and Business Intelligence Dashboards. Skilled in data cleaning, visualization, reporting, and analytical problem-solving. Seeking an entry-level Data Analyst position to apply analytical skills and contribute to business growth through data-driven insights.
R L Jalappa Institute of Technology (VTU)
B.E. · Computer Science & Engineering
August 1, 2022 – June 30, 2025
Nuzvid Polytechnic, Andhra Pradesh
Diploma · Mechanical
August 1, 2019 – June 30, 2022
Captain K K Swamy (EM) High School
10th Standard
June 1, 2018 – May 31, 2019
ROOMAN TECHNOLOGIES
IT IGNITION CLOUD INTERN
December 1, 2024 – April 1, 2025
India
BUSINESS INTELLIGENCE DASHBOARD FOR SALES AND PROFIT ANALYSIS
June 1, 2026 – Present
Developed an interactive business intelligence dashboard to analyze sales performance, profit trends, and customer segments using Power BI. Designed dynamic visualizations including sales and profit analysis by region, state, segment, and product sub-category. Performed data cleaning, transformation, and modeling to improve data quality and reporting accuracy. Created KPI-based dashboards to monitor revenue, profit, quantity sold, and business performance metrics. Implemented interactive filters and drill-down functionality for detailed exploratory data analysis and decision support. Utilized Power BI, Excel, Data Modeling, DAX Functions, and Data Visualization techniques for end-to-end dashboard development.
STUDENT PERFORMANCE PREDICTION USING MACHINE LEARNING
June 1, 2026 – Present
Developed an end-to-end machine learning system to predict student academic performance using Python. Achieved 87% prediction accuracy using Random Forest and Gradient Boosting models. Performed data preprocessing, feature engineering, and exploratory data analysis (EDA) on educational datasets. Built a Flask-based web application for real-time prediction and automated result storage. Utilized Pandas, NumPy, Scikit-learn and Matplotlib for data analysis and model development.
SQL for Data Analysis
Simplilearn Skill Up
June 1, 2026 – Present
Data Analytics Virtual Job Simulation
Deloitte (Forage)
June 1, 2026 – Present
Power BI Dashboard Design and Data Visualization
Power BI Micro Course
June 1, 2026 – Present
Data Analytics Essentials
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data analysis and machine learning, from business intelligence to student performance prediction. The internship in cloud computing indicates a willingness to explore broader technical areas. This breadth of interest and proactive learning aligns with a culture that values continuous development and versatile problem-solving. However, the lack of professional experience beyond an internship limits the assessment of cultural fit in a corporate setting.
Soft Skills & Operational Fit
The candidate lists analytical thinking, research & documentation, team collaboration, time management, and project management as professional skills. These are crucial for a Data Analyst role, suggesting a good operational fit. The academic projects demonstrate an ability to work independently and deliver structured outcomes.