Name: Hamza Bin Asif

Job Role: Assistant Manager Data Analytics & Software Engineering

Experience: 1 Years 5 Months

Address: Karachi, Pakistan

Skills

Python
C# Sharp
Excel
Machine Learning
Data Visualization
Big Data Analytics
Statistical Analysis
My SQL
Power Bi

About

About Me

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.

  • Profile: Software Engineering & Data Analytics
  • Domain: Data Collection & Acquisition -- Processing, Cleaning & Preparation -- Data Analysis (EDA) -- Modeling & Machine Learning Algorithms --Testing, Validation & Evaluation --Visualization, Dashboards & Reporting --C# Console Application Development for Automation & Data Processing --Deployment, Automation & Productionization --Data Ethics, Governance & Privacy Compliance --Tools, Technologies & Analytical Frameworks --Industry & Business Domain Understanding --Emerging Trends in Data Science & AI --Career Development & Professional Growth in Data Science
  • Education: Bachelor Of Computer Science
  • Language: English, Urdu
  • Interest: Traveling, Travel Photography, Teaching, Cricket

0 +   Projects completed

LinkedIn

Resume

Resume

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..

Experience


2024-2025

Final Year Project

Farmware App

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.

  • Built a React Native app for farmers to monitor cow health, collect symptom data, and interact with the system easily on mobile devices..
  • Implemented a Decision Tree algorithm on MySQL-stored farm data to predict cow diseases based on symptoms and generate automated medical reports..
  • Provides day-wise treatment plans, supports data-driven decision-making, and improves overall farm management and animal health monitoring.

2025

Assistant Manager – Stringray Tec

Handling multiple technical and analytical projects, including data analysis, machine learning, and C# console application development.

  • Leading multiple technical and analytical projects, including data analysis, machine learning, and C# console application development, ensuring timely and efficient project delivery..
  • Oversee data collection, processing, and analysis to generate actionable insights, and implement automation solutions to improve operational efficiency and reporting accuracy.
  • Collaborate with cross-functional teams, provide guidance and mentorship to junior staff, and maintain high standards of quality, accuracy, and technical execution across projects..



Education


2021-2025

Bachelor of Computer Science

Hamdard University karachi

Grade: Completed Degree

2018

Higher Secondary School

S.M.H>R Higher Secondary School

Grade: First class distinction.

Projects

Projects

Below are the sample Data Analytics projects on SQL, Python, Power BI & ML.

Advance Create Card Transaction Report Power Bi Dasboard

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.

Advance Create Card Customer Report Power Bi Dasboard

Performed exploratory data analysis Advanced Customer Report Card in Power BI .

Power BI Sales dashboard Project

Designed a power bi dashboard for super Store to track and analyze the online sales data set.

Money Heist Series All Season View Power BI dashboard Project

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..

Hotel Booking Cancellation Power BI dashboard Project

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.

Super StoreSales SQL Queries

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.

Image Insight Classifier Machine Learning

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..

SONAR Rock vs Mine Prediction with Python Machine Learning

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..

Student Marks Predicate Machine Learning Project

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...


The Super Store Sales Big Data Analyst Project

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..

The Weather Big Data Analyst Project

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.

0 Achievements
0 Projects
0 Mentored Students
0 Cups of coffee

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Karachi, Pakistan

Contact Number

+92 3492512889

Email Address

hamzasif2233@gmail.com

Download Resume

resumelink