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Data Science with 9+ years in data analysis, visualization, and machine learning.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in data analysis, visualization, and machine learning. Skilled in Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, Excel, and Power BI, with a strong foundation in data cleaning, exploratory data analysis (EDA), dashboard development, and predictive modeling. Experienced in building end-to-end data science projects using Scikit-learn, XGBoost, and Streamlit for business insights and real-time prediction systems.
IT Vedant
Master in Data Science & Analytics with AI · Data Science & Analytics with AI
N/A – Present
N.B. Patel Polytechnic
Diploma in Computer Engineering · Computer Engineering
N/A – June 30, 2014
Prayosha Foods Pvt Ltd.
Sr. Technical Support Engineer
June 1, 2022 – May 1, 2025
India
Jindal Worldwide Ltd.
Supervisor & Computer Operator
December 1, 2020 – June 1, 2022
India
Allied Digital Services Ltd.
Technical Support Engineer (Client: Air India)
December 1, 2016 – June 1, 2020
India
HCL Services Ltd.
Customer Support Engineer
August 1, 2016 – November 1, 2016
India
Chiripal Industries Ltd.
Computer Operator
October 1, 2014 – November 1, 2015
India
End-to-End Data Science Project: Customer Churn Prediction System
June 25, 2026 – Present
Cleaned and analyzed customer churn data using Excel, MySQL, and Python (Pandas, Matplotlib) to extract business insights. Built an interactive Power BI dashboard to visualize churn trends across contract type, tenure, spending, and services Developed and evaluated an XGBoost-based churn prediction model using performance metrics like Accuracy Score. Created and deployed a Streamlit web application for real-time customer churn prediction.
View ProjectMobile Sales Dashboard
June 25, 2026 – Present
Built an interactive Power BI dashboard using DAX, Power Query, and Excel to track KPIs like Total Sales, MTD, and YoY growth. Designed data models and created DAX measures for time-based analysis and KPI monitoring. Generated business insights across city, brand, model, and payment methods using interactive visualizations. Implemented page navigation with buttons for seamless switching between Dashboard, MTD, and YoY views.
View ProjectHospital Emergency Room Dashboard
June 25, 2026 – Present
Developed an interactive Hospital Emergency Room dashboard in Excel using Pivot Tables, Power Query, charts, and slicers. Analyzed patient flow, waiting time, admission status, and satisfaction metrics using 2023 hospital data. Tracked KPIs such as patient count and average waiting time with dynamic filters and slicers. Generated insights on patient demographics, departmental workload, and treatment delays to support decision-making.
View ProjectE-commerce Analytics (Snapdeal Web Scraping Project)
June 25, 2026 – Present
Scraped product data (price, discount, ratings) using Python (Pandas, NumPy, Jupyter Notebook). Cleaned and processed data by handling missing values, duplicates, and outliers. Built dashboards in Power BI with DAX to analyze pricing, discounts, and brand performance. Generated insights for pricing strategy and product comparison.
View ProjectPower BI, Tableau, SQL, Advanced Excel, Python, Analysis with python, Python essentials for data science, Machine Learning Mastery
IT Vedant
January 1, 2026 – Present
Microsoft Power BI
Simplilearn
January 1, 2025 – Present
Data Analytics
Udemy
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from customer churn prediction to sales and hospital emergency room dashboards, indicates a broad interest in applying data science across different domains. The pursuit of a Master's in Data Science & Analytics with AI, coupled with multiple certifications, demonstrates a strong commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. However, the professional experience is heavily weighted towards technical support and computer operations, which might require a significant transition in work culture and responsibilities for a senior Data Science role.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, communication, team collaboration, time management, and attention to detail as soft skills. While these are crucial for a Data Science role, the professional experience primarily highlights technical support and computer operator roles, which may not have provided extensive opportunities to demonstrate these soft skills in a data science context. The 'Top Performer' achievement suggests strong operational execution in a support role.