Data Scientist with Hands-On Analytics & ML Skills

Ghulam Jilani

Kent, OH +1-234-***-**** ****************@*****.*** linkedin.com/in/ghulamjilani0 github.com/G-Jilani bit.ly/gjwebsite SUMMARY

Data Scientist & Analyst with an MS in Data Science and hands-on experience in data analysis, machine learning, forecasting, and dashboard development. Proficient in Python, SQL, Power BI, and Excel. Adept at transforming complex data into actionable insights across healthcare, finance, and business domains. SKILLS

• Programming Languages: Python, SQL, R, C, C++, Core Java, Data Structures, Algorithms

• Machine Learning: Supervised Learning, Unsupervised Learning, and, Reinforcement Learning

• Libraries: Pandas, NumPy, SciPy, matplotlib, seaborn, ggplot2, Scikit-learn

• Software Tools: Power BI, Excel(Pivot Tables, VLOOKUP), VS Code, Google Colab, RStudio, Jupyter NB

• Soft Skills: Excellent communication, teamwork, problem-solving, critical thinking, attention to detail, organization

EXPERIENCE

Data Analyst Intern KGS Technology Group, Inc. April 2025 – Present

• Cleaned and transformed raw data to generate actionable business insights.

• Developed complex SQL queries to efficiently extract and manage data from multiple sources.

• Created interactive Power BI dashboards to visualize key metrics and support decision-making.

• Monitored and analyzed KPIs to track business performance and identify improvement areas.

• Applied statistical techniques to interpret data trends and inform strategic recommendations. Data Science Intern Let's GrowMore LINK Apr 2022 - May 2022

• Developed an Iris Flowers Classification model using Logistic Regression and KNN, achieving 97.37% and 94.74% accuracy.

• Developed a Stock Market Prediction model using a Stacked LSTM neural network to forecast stock prices based on historical data and evaluated performance using RMSE.

• Developed a music recommender algorithm analyzing 500,000+ listening patterns; Improved user satisfaction by 30% and boosted subscription renewals by 15%.

• Developed an image-to-pencil sketch conversion tool using Python and OpenCV by applying grayscale, inversion, and Gaussian blur techniques to generate sketch effects. Data Science Intern The Spark Foundation LINK Mar 2022 - Apr 2022

• Developed a linear regression model to predict student scores based on study hours using Python and Scikit- learn

• Implemented K-Means clustering on the Iris dataset to predict the optimum number of clusters and visualized the results using Python and Scikit-learn.Analyzed company data to assess sales, profit trends, and pricing strategies, providing insights for profitability optimization.

• Conducted exploratory data analysis on IPL datasets to identify key trends and patterns. Shift Manager Tahini Kent State University Sep 2023 - Oct 2024

• Managed inventory and tracked cost efficiency, reducing overheads by ensuring lean operations.

• Created shift schedules and improved labor-hour forecasting based on store traffic analysis. PROJECTS

Credit Card Fraud Detection Project Using Python LINK Dec 2024

• Developed a machine learning model with 92% accuracy to detect fraudulent credit card transactions, enhancing customer security and preventing unauthorized purchases.

• Employed techniques like under-sampling to balance highly imbalanced data and used logistic regression for predictive modeling, achieving optimal results on a real-world dataset. Zomato Data Analysis Project using Python LINK Jul 2024

• Explored and visualized customer and restaurant data using Python, focusing on customer preferences, ratings, and spending behavior.

• Revealed insights such as the popularity of dining restaurants, higher ratings for online orders, and restaurant types that receive more offline orders through data cleaning, EDA, and visualization. Cryptocurrency Price Prediction Using Ensemble Model LINK May 2024

• Developed a predictive model leveraging ensemble techniques, machine learning, and deep learning algorithms to forecast cryptocurrency prices for enhanced investment decision-making.

• Implemented data-driven strategies to improve prediction accuracy and reliability, focusing on specific cryptocurrencies requested by users for personalized forecasting. Power BI Dashboard Project LINK Dec 2023

• Developed an interactive dashboard for monitoring and analyzing online sales data.

• Employed intricate parameters for deep-diving into worksheets and customization via filters and slicers. EDUCATION

Master of Science in Data Science Aug 2023 - Dec 2024 Kent State University, OH, USA GPA: 3.39/4

Relevant Coursework: Statistical Learning, Computational Statistics, Applied Statistics, Big Data Analytics, Data Mining Techniques, Advance Database System Design Bachelor of Technology in Computer Science Jul 2018 - Aug 2022 Sister Nivedita University, WB, India GPA: 7.98/10 Relevant Coursework: Design & Analysis of Algorithms, Machine Learning, Cloud Computing, Mathematics CERTIFICATIONS

• Introducing Generative AI with AWS: Udacity CERTIFICATE Jul 2025

• IBM Data Science Professional Certification: Coursera CERTIFICATE Feb 2023

• Earned 5-star ratings in C and C++, and 4-star ratings in Python, SQL, and Core Java on the HackerRank coding practice platform. LINK

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