Shubham Goyal
Data Scientist
Data Scientist
Hello! I am Shubham Goyal, a data enthusiast with a passion for transforming numbers into compelling stories that drive smart decisions.
What Drives My Search?
I am actively seeking roles that align with my skills, present new challenges, and allow me to make meaningful contributions.
Why Consider Me?
I have a profound passion for deriving practical insights from data. My expertise lies in converting raw data into actionable insights using
tools like Excel, SQL, Python, Tableau and Power BI.
Proven Real-World Skills
While I may not have followed the conventional office career path, I have immersed myself in real-world projects
that showcase my capabilities and dedication to data analytics.
What Makes Me Special?
My adaptability and strong analytical skills enable me to seamlessly integrate into teams, making an immediate and positive impact.
I thrive in dynamic environments and am committed to delivering high-quality, insightful data analysis.
Guru Gobind Singh Indraprastha University (IPU)
CGPA-8.9
Kendriya Vidyalaya AFS Gogha School
Percentage-81.75%
Kendriya Vidyalaya AFS Gogha School
CGPA-9.6
CodeBasics
11/2023 - 05/2024
Coursera
07/2024 - 07/2024
upGrad
06/2024 - 03/2025
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Performed NFT and cryptocurrency analysis using SQL to explore market trends, transaction patterns, and pricing insights. Executed complex queries to extract valuable data-driven insights for better investment decisions.
Project
Created a comprehensive healthcare dashboard in Tableau to visualize patient data, treatment outcomes, and hospital performance. Leveraged interactive features to track key metrics like patient visits, recovery rates, and operational efficiency.
Project
Developed a Sales Performance Analysis dashboard in Tableau to visualize key metrics such as revenue, sales trends, and regional performance. Utilized filters and interactive elements to provide actionable insights for sales optimization and strategy planning.
Project
Developed interactive Power BI dashboards for the hospitality domain, analyzing occupancy rates, revenue trends, and customer demographics. Provided data-driven insights to optimize operations and enhance guest experience.
Project
Analyzed Diwali and Sankranti sales data using Power BI to uncover trends, customer preferences, and revenue patterns. Created interactive dashboards for data-driven decision-making and sales optimization.
Project
Developed interactive IPL dashboards in Power BI to visualize team performance, player statistics, and match trends. Utilized data modeling and DAX to extract key insights for cricket analytics.
Project
Performed hypothesis testing on the effectiveness of AdWords and Facebook ad campaigns. Analyzed conversion rates, engagement metrics, and campaign performance to determine statistically significant differences in ROI across platforms.
Project
Conducted hypothesis testing on four different problem statements to validate assumptions and draw data-driven conclusions. Applied statistical techniques to analyze datasets and assess the significance of various factors.
Project
Performed time series analysis on Netflix data to forecast trends in viewership, content popularity, and subscription growth. Visualize and identify seasonal patterns and long-term predictions.
Project
Performed Market Basket Analysis using machine learning techniques to identify associations between products in customer transactions. Applied algorithms like Apriori to uncover frequent itemsets and generate product recommendations for enhancing sales strategies.
Project
Developed a machine learning model to categorize eCommerce products based on descriptions using NLP techniques like TF-IDF and word embeddings. Enhanced accuracy through feature engineering and hyperparameter tuning.
Project
Developed a Sentiment Analysis model to classify text as positive, negative, or neutral using NLP techniques. Utilized machine learning algorithms and data preprocessing to analyze sentiments in real-world datasets.
Project
Implemented Text Classification and Topic Modeling to categorize and extract key themes from textual data. Leveraged NLP techniques, machine learning, and LDA for insightful analysis and automated topic discovery.
Project
Developed a Spam Detection system using NLP techniques to classify messages as spam or not spam. Utilized text preprocessing, feature extraction, and machine learning models to accurately identify and filter unwanted content.
Project
✅ Analyzed and Visualized Data: Cleaned and processed datasets to generate insights and create interactive dashboards.
✅ Contributed to Data-Driven Decisions: Assisted in executing analytics tasks that improved business strategies and efficiency.
✅ Data Cleaning & Transformation: Processed raw data for better accuracy and usability.
✅ Dashboard Development: Created interactive dashboards for business insights.
✅ Stakeholder Communication: Designed presentations to communicate findings effectively.
✅ Instagram Growth: Managed a meme page with 16,000+ followers.
✅ Content Strategy: Created viral content and increased engagement.
✅ Event Management: Organized 20+ trips, fostering a vibrant community.
✅ Logistics & Marketing: Managed customer relations and promotions.