Data Science with less than a year in Python, SQL, and Power BI, focused on impactful data-driven pr
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Currently pursuing a Master of Computer Applications, I am an enthusiastic Data Science professional with a solid foundation in data analysis, visualization, and machine learning. My project experience includes developing a centralized placement system, building a social media sentiment dashboard, and creating a retail sales forecasting engine. I am proficient in Python, SQL, Power BI, and Excel, with a keen interest in leveraging data to drive business insights and solutions.
Bharati Vidyapeeth Institute of Computer Applications and Management (GGSIPU)
Master of Computer Applications · Computer Applications
August 1, 2024 – Present
University of Allahabad
Bachelor of Science
August 1, 2019 – June 30, 2022
Placement Management Module
June 1, 2026 – Present
Performed data analysis and EDA on 200+ student records and 20+ company profiles to design a centralized placement system. Implemented role-based access control reducing unauthorized data exposure by ~30% and shortlisting efficiency by ~40%. Developed Power BI dashboard to monitor key metrics such as application status and trends.
Social Media Sentiment & Brand Intelligence Dashboard
June 1, 2026 – Present
Collected and preprocessed 25,000+ tweets/Reddit posts across 3 brand competitors; cleaned noise (emojis, URLs, hashtags) via regex pipelines. Applied VADER & TextBlob for sentiment classification achieving 82% accuracy on 500-record labelled sample; used LDA topic modelling to surface top 10 complaint/praise themes. Built Power BI dashboard tracking daily sentiment score, volume spikes, and competitor comparison for real-time brand health monitoring.
Retail Sales Forecasting & Insight Engine
June 1, 2026 – Present
Cleaned 50,000+ rows of 3-year retail transactional data; built a Facebook Prophet time-series model achieving MAPE of 6.8% for monthly revenue forecasting. Designed Power BI executive dashboard with 8 KPIs (revenue trend, top SKUs, regional heatmap, YoY growth), reducing manual reporting by ~70%. Identified top 3 underperforming product categories via cohort analysis - insights translated to a a 12% simulated revenue uplift in scenario modelling.
Cyber Security: From Beginner to Expert
Udemy
June 1, 2626 – Present
Data Analytics Job Simulation
Deloitte - Forage
June 1, 2026 – June 1, 2026
Data Visualisation: Empowering Business with Effective Insights
Tata Group - Forage
June 1, 2026 – June 1, 2026
O-Level Certification
NIELIT
June 1, 2026 – Present
Python Programming Internship
IIT BHU, Varanasi
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse applications of data science, from HR/placement to social media sentiment and retail sales forecasting. This breadth indicates adaptability and a willingness to explore different problem domains. The certifications, including those from Deloitte and Tata Group, suggest an interest in industry best practices and continuous learning. The academic achievements, such as presenting research papers, highlight initiative and a drive for knowledge sharing. These aspects generally align with a culture that values continuous learning, problem-solving, and practical application of skills.
Soft Skills & Operational Fit
The candidate demonstrates a project-oriented approach, indicating good problem-solving skills and the ability to work on defined tasks. The descriptions suggest an understanding of business impact (e.g., reducing unauthorized data exposure, improving shortlisting efficiency, reducing manual reporting). However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or broader operational fit beyond project execution.