Oct 2025 – Present · 5 mos · India

• Designing learning experiences that simulate how data analysts actually think.
• Most SQL courses focus on syntax.
• Our challenges and projects focus on messy business questions where learners must:
• investigate incomplete data
• understand business context
• defend analytical decisions
• I also lead fellowship and internship programs where aspiring analysts work through real-world projects and presentations.

Jun 2025 – Dec 2025 · 6 mos

Nov 2024 – Jun 2025 · 7 mos · Remote

• 1. Sustainability Analyzer Tool
• Cleaned and preprocessed 10M+ rows of data using Python (Pandas, NumPy) to generate actionable insights for sustainability analysis.
• Developed an interactive Tableau tool with dashboards displaying KPIs, carbon emissions trends, and sustainability scores with YoY comparisons and industry benchmarks.
• Automated reporting with export options, reducing manual effort by 10-12 hours per month and providing real-time insights for data-driven decision-making.
• 2. Budget Optimization Tool
• Cleaned, combined and preprocessed 12+ CSV files with 5M+ rows using Python by removing duplicates, handling outliers, and normalizing data for accurate analysis.
• Developed an interactive Excel dashboard to visualize budget distribution, YoY comparisons, growth trends, sales forecasts, and cash flow projections with actionable insights.
• Implemented "What-If" simulation scenarios, enabling the company to model revenue changes and budget adjustments, improving budgeting accuracy by 40% and enhancing budget allocation.
• 3. ESG yearly overview dashboard in Power BI
• 4. Marketing Campaign Analysis Dashboard (Tableau + Python)
• 5. Branding Awareness Tracker (Excel+ Power BI)

Aug 2024 – Oct 2024 · 2 mos · Remote

• AI Band Project
• 1. Designed and implemented a SQL database for Omani songs and lyrics, enabling structured storage and efficient retrieval.
• 2. Preprocessed audio by removing background noise, normalizing frequency and sampling rates, and extracting features (e.g., MFCCs, spectral, tonnetz, tempo).
• 3. Applied correlation analysis and hypothesis testing to identify impactful audio features and optimize training datasets.
• 4. Utilized pre-trained models like Mellotron and RAVE to generate music samples.
• Admin Dashboard Development
• 1. Developed a secure Django-based web application with user authentication, analytics, and full admin control features (CRUD operations, request approvals, price settings, chat monitoring).
• 2. Built backend synchronization with the main app and external PostgreSQL database via APIs.
• 3. Conducted A/B testing on UI/UX features for new users; used statistical significance testing (Z-test) to compare groups. Improved early user engagement by 30%.
• 4. Documented backend and API processes for seamless collaboration and future development.
• Database Architecture for an App
• 1. Designed a robust architecture integrating external servers, PostgreSQL databases, and multiple dashboards web app.
• 2. Implemented API-driven data flow for CRUD operations and real-time notifications via email, SMS, and push notifications.
• 3. Identified and resolved database issues, ensuring on-time project delivery under tight deadlines.

Jun 2024 – Jul 2024 · 1 mo · Remote

• 1. Developed a comprehensive demo for the "AI Dashboard" project, integrating web scraping, data cleaning, sentiment analysis, SQL data storage, and a Chatbot-like interface using Streamlit, Llama 2, and mBERT, securing the project for the company.
• 2. Designed and implemented a meeting verification app in Streamlit, leveraging Excel for data cleaning and unique ID generation, reducing manual processing time by 10-11 hours.
• 3. Automated messaging and document distribution processes, cutting down manual work by 3-4 days.

Apr 2024 – May 2024 · 1 mo · Remote

• 1. Executed thorough Exploratory Data Analysis (EDA) on the Iris dataset using Python, highlighting adeptness in data preprocessing, statistical analysis, and visualization techniques.
• 2. Developed interactive Power BI dashboards for weather data analysis, employing advanced DAX measures, KPIs, and navigation features, demonstrating proficiency in data manipulation, visualization, and dashboard design.
• 3. Applied correlation and regression analysis techniques to extract insights from weather data, showcasing strong statistical analysis, machine learning, and data interpretation skills essential for data analysis roles.

Feb 2024 – May 2024 · 3 mos · Remote

• 1. Managed 5 clients over 3 months, delivering tailored Portfolio websites and ensuring client satisfaction through clear project scopes and regular meetings.
• 2. Established clear communication channels and developed an efficient onboarding process to understand client needs and expectations.
• 3. Implemented business strategies in project management, including contract negotiation, invoicing, and documentation.

Feb 2024 – Mar 2024 · 1 mo · Remote

• 1. Leveraged Python (Pandas, Matplotlib, Seaborn) to perform EDA on investment avenues data, extracting actionable insights.
• 2. Employed PowerBI's Power Query, data groups to preprocess data effectively, enabling the creation of a dynamic dashboard showcasing demographic insights, investment avenue preferences, and key motivations for investment.
• 3. Demonstrated the significance of data-driven approaches in optimizing capital allocation and strategic planning processes.

Jan 2024 – Jan 2024 · 0 mo · Remote

• 1. Analyzed nutritional content in a cereal dataset using Python (pandas, matplotlib, seaborn), extracting key insights and communicating findings through effective data visualization.
• 2. Utilized SQL skills for data manipulation and analyzed 8500+ rows of dataset, utilizing CASE statements, aggregations, window functions, and CTEs in a complex retail dataset.
• 3. Designed and implemented an interactive Power BI dashboard to visualize unemployment trends in India, transforming raw employment data into meaningful visualizations.

Dec 2023 – Feb 2024 · 2 mos · India · Remote

• 1. Developed impactful dashboards in Excel (VLOOKUP, INDEX, MATCH, Pivot Tables, Conditional Formatting, Macros) and PowerBI (Measures, Power query).
• 2. Managed end-to-end data analysis, including data collection through Google Forms, MYSQL-based analysis, and storytelling for insightful presentations. Provided meaningful employer recommendations with a narrative emphasis.

Dec 2023 – Jan 2024 · 1 mo · India · Remote

• 1. Analyzed a 100,000+ row diabetes dataset using PostgreSQL, extracting key insights for enhanced healthcare data understanding.
• 2. Manipulated a 4000-employee dataset in Excel, utilizing VLOOKUP, INDEX, MATCH, and Excel Macros to streamline processes and boost efficiency.
• 3.Conducted detailed analysis of a 4400+ row HR dataset with Excel and Power BI (DAX, Relationship Establishment, Data Visualization). Delivered actionable insights for informed decision-making.

Nov 2023 – Dec 2023 · 1 mo · India · Remote

• 1. Analyzed 185,000+ rows of sales data using Power BI, identifying trends, top-selling products, and calculating revenue metrics. Used data manipulation for effective visualizations, aiding strategic decision-making.
• 2. Cleaned and transformed HR data in Power BI, including column operations and duplicate handling. Utilized Power BI for visualizing correlations between HR factors, enhancing talent management and organizational performance.

Jun 2020 – Jun 2023 · 3 yrs · Punjab, India · On-site

• 1. Published two impactful scientific papers in international journals, spotlighting detail-oriented, problem-solving, and analytical skills.
• 2. Conducted rigorous mathematical analysis using MATLAB and Excel, presenting findings at global conferences like RAFAS 2021 and RAFAS 2023 during undergraduate and postgraduate studies.
• This is done during my Bachelors and Masters program where no specific title was assigned.

Jan 2019 – May 2021 · 2 yrs 4 mos · India · Hybrid

• 1. Empowered 15-20 high school students (grades 9-12) through targeted Mathematics tutoring, achieving a noteworthy 15-20% improvement in academic performance.
• 2. Applied data-driven insights to customize lesson plans, resulting in consistent marks between 75-90 and earning positive feedback from students and parents, showcasing adept analytical and communication skills.