Data Science with less than a year in Python, Power BI, and 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
Computer Engineering graduate with strong analytical and problem-solving skills. Skilled in Microsoft Excel, Power BI, data organization, reporting, and business tools. Quick learner with experience working on technical and data-driven projects.
Datta Meghe College of Engineering, Mumbai University
B.E. · Computer Engineering
August 1, 2022 – June 30, 2026
Breast Cancer Prediction
June 1, 2026 – Present
Built a Random Forest-based ML model to classify tumors as benign/malignant. Added cancer staging, lifestyle/diet recommendations, and report generation. Deployed as a Streamlit app for easy usage by lab assistants and doctors.
Excel - Sales Data Analysis Project
June 1, 2026 – Present
Analyzed retail sales data using Microsoft Excel. Created Pivot Tables to analyze sales by gender, age group, state, order status, and sales channel. Developed charts and an interactive dashboard to visualize sales trends and business insights. Performed data cleaning and reporting using Excel features.
Jarvis - AI Virtual Assistant
June 1, 2026 – Present
Built a desktop-based AI assistant capable of voice commands for tasks like opening applications, searching the web, and sending emails. Integrated Python libraries (speech recognition, text-to-speech, automation) for interactive functionality. Enhanced productivity by automating routine computer operations with simple voice instructions.
Power BI - HR Data Analytics Dashboard
June 1, 2026 – Present
Developed an interactive HR analytics dashboard in Power BI to track employee attendance, work-from-home trends, and leave patterns. Performed data cleaning and transformation using Power Query, including reshaping attendance data for analysis. Created DAX measures and KPIs such as Attendance %, WFH %, and Leave % to monitor workforce performance. Designed interactive visualizations, slicers, and KPI cards to provide actionable HR insights and improve reporting efficiency.
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications of data science, from business analytics (HR, Sales) to machine learning (Breast Cancer Prediction) and automation (AI Assistant). This breadth of interest aligns with a curious and adaptable mindset, which can be a good cultural fit for dynamic teams. However, the lack of professional experience or team-based projects makes it difficult to fully assess collaboration and alignment with specific company values.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured academic projects, suggesting a foundational level of problem-solving and project execution. The 'About Me' section highlights strong analytical and problem-solving skills, and being a quick learner. However, without professional experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or adaptability in a professional operational environment.