Salah Uddin Mohammed
Aspiring Data Scientist
Hyderabad
Summary
Aspiring Data Scientist with expertise in SQL, Python, Excel, and Power BI. Skilled in data cleaning, analysis, and visualization to support data-driven decision-making. Experienced in Machine Learning, Deep Learning, and Large Language Models (LLMs) with practical experience in projects, and proficient in Python and C. Committed to leveraging analytics and AI to solve complex problems in dynamic environments.
Overview
2
2
years of professional experience
1
1
Language
Work History
Data Science Internship
The Developers Arena
08.2025 - 11.2025
- Collected, cleaned, and transformed customer usage and billing data, performed EDA to identify key churn factors, built and evaluated multiple ML models (Logistic Regression, Random Forest, XGBoost), applied feature selection, SMOTE, and hyperparameter tuning to improve performance, and created dashboards and reports to present insights to stakeholders.
- Optimized machine learning models for improved prediction accuracy and performance.
- Utilized programming languages such as Python or R extensively throughout the internship – applying relevant libraries and frameworks when appropriate.
- Created data visualization graphics, translating complex data sets into comprehensive visual representations.
- Performed advanced data extraction and data manipulation.
- Applied appropriate data science techniques to solve business problems.
Python Developer Internship
Datapoint Info Solutions Pvt Ltd
08.2023 - 09.2023
- Collected and preprocessed large-scale cryptocurrency data from multiple exchanges, built and trained ML/DL models for price prediction using time-series and sentiment indicators, visualized model performance through dashboards, and collaborated with a team to optimize neural network architectures for improved accuracy and stability
- Automated repetitive tasks using Python scripts, increasing efficiency within the team''s workflow processes.
- Ensured timely delivery of high-quality products through diligent project management and prioritization of tasks.
- Improved application performance by optimizing Python code and implementing best practices.
Education
BACHELOR OF ENGINEERING - Computer Science Engineering with Artificial Intelligence and Machine Learning
Osmania University
Hyderabad, India09.2025
INTERMEDIATE EDUCATION CERTIFICATE (CLASS 12) - Mathematics, Chemistry, Physics, Statistics
Sri Chaitanya Junior College
Hyderabad, India05.2021
SECONDARY SCHOOL EDUCATION (CLASS 10) - General Education
Ravindra Bharathi School
Hyderabad, India05.2019
Skills
Python
Accomplishments
Data Science and Analytics — Upgrad Campus
20 Jul 2023
Completed 8 practical case studies involving SQL, data cleaning, dashboard creation, and business presentations.
Link: https://verification.givemycertificate.com/v/769a0570-18bb-486c-97c1-fe1473a1cf53
TensorFlow & Keras for Neural Networks and Deep Learning — Scaler & Udemy
18 Oct 2023
Completed an in-depth certification on Keras and TensorFlow, gaining hands-on experience in building, training, and optimizing neural networks for real-world applications.
Links:
Udemy: https://www.udemy.com/certificate/UC-872f69d4-8358-4936-a53d-2dee2d3d659d/
Scaler: https://moonshot.scaler.com/s/li/Bikp2R33bh
Python (Basic) — HackerRank
15 Feb 2025
Demonstrated strong proficiency in Python fundamentals through coding challenges covering data types, control structures, functions, string manipulation, error handling, and problem-solving.
Link: https://www.hackerrank.com/certificates/08644aee3bad
Publications
Kidney Disease Classification Using MLflow — 2025
This research presents a deep learning–based kidney disease classification system using medical imaging and MLflow. The work includes a full pipeline: data preprocessing, CNN model training and evaluation, hyperparameter tracking, and version-controlled deployment. The use of MLflow ensured reproducible experiments, while modular configurations enhanced scalability. The model achieved high accuracy, demonstrating strong potential for integration into clinical diagnostic workflows.
Authors: Kamel Ali Khan Siddiqui, Mohammed Salah Uddin, Syed Ikhlas Ullah Hussaini & Arsh Aayat Ansari
Journal: International Journal of Multidisciplinary Engineering in Current Research (IJMEC), 2025, Vol. 10, Issue 4.
Link: https://ijmec.com/index.php/multidisciplinary/article/view/601
Interests
Competitive Chess
Professional-Level Rubik's Cube Solving (Speedcubing)
Timeline
Data Science Internship
The Developers Arena
08.2025 - 11.2025
Python Developer Internship
Datapoint Info Solutions Pvt Ltd
08.2023 - 09.2023
INTERMEDIATE EDUCATION CERTIFICATE (CLASS 12) - Mathematics, Chemistry, Physics, Statistics
Sri Chaitanya Junior College
SECONDARY SCHOOL EDUCATION (CLASS 10) - General Education
Ravindra Bharathi School
BACHELOR OF ENGINEERING - Computer Science Engineering with Artificial Intelligence and Machine Learning
Osmania University