I am an Assistant Manager at Stringray Tec with 1+ years of experience in data analysis, data science, and software development. I work on multiple technical projects involving data analytics, machine learning, and C# console applications for automation. I’m a fast learner with strong problem-solving skills, delivering efficient, data-driven solutions and high-quality technical results.
0 + Projects completed
Assistant Manager / Junior Data Analyst with 1+ years of experience in data analysis, machine learning, and C# console application development. Skilled in statistical modeling, EDA, and data-driven decision-making, delivering actionable insights and high-quality technical solutions across multiple projects at Stringray Tec..
A React Native mobile app for cow health management, integrating MySQL backend and Decision Tree ML algorithm to predict diseases based on symptoms and provide day-wise treatment plans. Enables data-driven decisions, automated medical reports, and efficient farm management.
Handling multiple technical and analytical projects, including data analysis, machine learning, and C# console application development.
Grade: Completed Degree
Grade: First class distinction.
Below are the sample Data Analytics projects on SQL, Python, Power BI & ML.
Developed an Advanced Transaction Report Card in Power BI, consolidating all project data to provide real-time insights, improve decision-making, and streamline reporting across multiple client projects. and increase the business growth.
Performed exploratory data analysis Advanced Customer Report Card in Power BI .
Designed a power bi dashboard for super Store to track and analyze the online sales data set.
The Money Heist series Power BI dashboard project visualizes key metrics across all seasons, including character screen time, heist success rates, plot twists, audience engagement, and episode ratings..
The Hotel Booking Cancellation Power BI dashboard project analyzes booking patterns, cancellation rates, customer demographics, reasons for cancellations, seasonal trends, and revenue impact to optimize hotel management strategies.
Developed complex SQL queries to analyze sales data for a Super Store, including customer segmentation, sales trends, and inventory management, leading to improved decision-making and reporting efficiency.
Developed the Image Insight Classifier using machine learning to accurately categorize and analyze images from camera feeds, enhancing automated visual recognition systems and improving classification accuracy..
Developed a machine learning model using Python to classify sonar signals as rocks or mines. Employed data preprocessing, feature engineering, and trained with algorithms like Logistic Regression, achieving high accuracy..
Developed a machine learning model to predict student marks based on various features such as study hours, attendance, and past performance. Achieved high accuracy through data preprocessing, feature engineering, and model optimization...
Analyzed large datasets from a superstore to identify sales trends, optimize inventory, and forecast demand. Utilized data visualization, statistical analysis, and predictive modeling to drive business insights and decision-making..
Conducted big data analysis on weather datasets to uncover patterns and predict weather conditions. Applied statistical methods, data visualization, and machine learning to enhance forecasting accuracy and support decision-making.
Below are the details to reach out to me!
Karachi, Pakistan