Shubham Dubey

Data Science

https://www.opentalent.in/shubham-dubey-9425750

Data Science with less than a year in Python, SQL, and Power BI

Key Strengths

Strong foundational skills in data analysis, EDA, and data cleaning using Python (Pandas, NumPy) and SQL.
Demonstrated ability to build and deploy data visualization dashboards using Power BI for various business insights (sales forecasting, sentiment analysis, placement monitoring).
Experience with machine learning models for time-series forecasting (Facebook Prophet) and sentiment analysis (VADER, TextBlob, LDA topic modeling).
Ability to translate data insights into actionable business recommendations, as shown by identifying underperforming product categories and simulating revenue uplift.
Academic projects showcase practical application of data science techniques to real-world scenarios.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects demonstrate a breadth of application areas within data science, from HR/placement management to retail sales and social media analytics. This diversity suggests adaptability and a willingness to tackle different problem domains. The certifications and research paper presentations indicate a proactive learning attitude and engagement with the broader technical community, which aligns well with a culture of continuous improvement and knowledge sharing. The target role of Data Science is well-aligned with the skills and projects presented.

Soft Skills & Operational Fit

The candidate's project descriptions indicate a results-oriented approach, focusing on quantifiable impacts (e.g., reducing unauthorized data exposure by ~30%, reducing manual reporting by ~70%). The academic achievements, including presenting research papers and participating in conferences, suggest initiative and a drive for continuous learning. However, without direct work experience, it's difficult to assess operational fit in a professional team setting or stress handling capabilities.

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About

Shubham Dubey is an aspiring Data Science professional currently pursuing a Master of Computer Applications. He possesses strong skills in Python (Pandas, NumPy, Scikit-learn, Prophet), SQL, and Power BI, with hands-on experience in data analysis, EDA, sentiment classification, and time-series forecasting. His project portfolio demonstrates the ability to develop data-driven solutions and interactive dashboards for placement management, social media intelligence, and retail sales forecasting, aiming to deliver actionable insights and improve operational efficiency.

Top Skills

PythonSQLPower BI

Projects

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.

Retail Sales Forecasting & Insight Engin

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 12% simulated revenue uplift in scenario modelling.

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. Build Power BI dashboard tracking daily sentiment score, volume spikes, and competitor comparison for real-time brand health monitoring.

Certifications

Cyber Security: From Beginner to Expert

Udemy

June 1, 2026 – Present

Data Analytics Job Simulation

Deloitte

June 1, 2026 – Present

Data Visualisation: Empowering Business with Effective Insights

Tata Group

June 1, 2026 – Present

O-Level Certification

NIELIT

June 1, 2026 – Present

Python Programming Internship

IIT BHU, Varanasi

June 1, 2026 – Present

Key Strengths

Strong foundational skills in data analysis, EDA, and data cleaning using Python (Pandas, NumPy) and SQL.
Demonstrated ability to build and deploy data visualization dashboards using Power BI for various business insights (sales forecasting, sentiment analysis, placement monitoring).
Experience with machine learning models for time-series forecasting (Facebook Prophet) and sentiment analysis (VADER, TextBlob, LDA topic modeling).
Ability to translate data insights into actionable business recommendations, as shown by identifying underperforming product categories and simulating revenue uplift.
Academic projects showcase practical application of data science techniques to real-world scenarios.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Shubham Dubey

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Cultural & Operational Fit