Data Scientist and AI/ML Engineer with Full-Stack Analytics Experience

FARAAZ REHAN JUNAIDI MOHAMMED

Phone: +1-713-***-**** ***************@*****.*** Houston, TX

Seeking a fulltime position to utilize my technical skills in Data Science EDUCATION

Master of Science – Computer Science, University of Houston (GPA-3.67/4) August 2023 – May 2025 Bachelor of Engineering – Computer Science, Osmania University (GPA-3.5/4) August 2019 – May 2023 WORK EXPERIENCE

FewCuts Inc; Remote (India) March 2020 - October 2021 Data Analyst

Designed and automated data pipelines using Python, MySQL, and Pandas to monitor video performance metrics and optimize reel-generation workflows, improving analytics accuracy by 30%.

Built interactive dashboards in Tableau and Power BI integrating engagement data from Firebase and Redis, enabling actionable insights for marketing and content teams. Eunimart; India January 2022 – May 2023

Data Scientist

Developed machine-learning models in TensorFlow and Scikit-learn to predict seller performance and product demand across global marketplaces, enhancing forecast precision by 25%.

Performed large-scale data processing and feature engineering using PySpark, AWS S3, and SQL, generating real-time business intelligence reports that informed pricing and logistics strategies. MarketEQ Digital Inc; Miami, FL July 2025 - Present AI/ML Back End EngineerOAM

Engineered microservices in NestJS, FastAPI, and Python integrating ActivityWatch, PostgreSQL, and Cloudflare R2 to process time-tracking data and screenshots with 99% reliability.

Deployed and optimized RAG pipelines using LangChain, OpenAI APIs, and Vector Databases (FAISS/PGVector) for research- driven AI assistants, improving query latency by 40%. PROJECTS

HR and Recruitment Dashboard July 2025

Executed SQL queries in Oracle database to extract required data of companies, employment, and jobs.

Utilized Tableau for extraction of data and created the interactive dashboard which shows the information about companies, HR and jobs.

Railway Reservation System May 2025

Developed a Database Management System (DBMS) for railways to store, manipulate and search trains and tickets by customers and staff using SQL queries in Microsoft SQL Server database.

Designed an (Entity Relation) ER-model and translated the model to relational schema for a management system. Diabetes Prediction Using ML March 2025

Trained the ML model with HealthCare information such as glucose level, insulin level, blood pressure and BMI. Performed EDA and Statistical Analysis to understand and preprocess data.

Applied Support Vector Machine to predict the diabetic levels in the patient and achieved 87% accuracy. Oil Well Classification December 2024

Produced the Machine Learning algorithms of linear regression, KNN Model and Random Forest Regression to classify the oil wells into Tier 1, Tier 2, and Tier 3 categories.

Analyzed dataset to conduct Exploratory Data Analysis (EDA) to train the model. Achieved more that 90% accuracy for all models.

Stocks Market Dashboard Using Excel October 2024

Created dynamic interactive stock market dashboard of D-mart and Asian Paints company using MS Excel.

Evaluated sample dataset using VLOOKUP, boxplot and Index match functions.

Employed Excel VBA macros and pivot table for data analysis and filtering. TECHNICAL SKILLS

Programming Languages: Python, SQL (Structured Query Language), NoSQL, C, Java, R

Analytical Tools: Tableau, Power BI, Google Data Studio, Advanced Excel

Database: MySQL, PostgreSQL, Oracle, Microsoft SQL Server, Teradata, MS- Access

Libraries: NumPy, SciPy, Pandas, Scikit-learn, Seaborn, Matplotlib, StatsModels, Spark ML

Data Science Skills: Artificial Intelligence (LLM, RAG), Machine Learning, Statistics, Data Preprocessing, Data Mining, Data Transformation, Exploratory Data Analysis, Data Visualization, Database Design

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