Machine Learning Data Visualization

MOHAMMEDSAIF SHAIKH

San Francisco, US, ***** 541-***-**** *.***********@*****.*** linkedin.com/in/mohammedsaif-shaikh

github.com/saifii7

SUMMARY

Detail-oriented and results-driven Computer Science professional with a strong passion for Data Science and Data Analysis. Hands-on experience in machine learning, predictive analytics, and data visualization acquired through coursework and projects. Proficient in Python, SQL, R and data visualization tools such as Tableau and Power BI. Adept at utilizing analytical skills to extract actionable insights and contribute to data-driven decision-making.

EDUCATION

Oregon State University Corvallis OR, US

Master of Computer Science Engineering Jan 2023 – June 2024

Gujarat Technological University Bharuch GJ, IN

Bachelors in computer science and engineering Aug 2 0 18- Jun 2 0 22

TECHNICAL SKILLS

Languages: C++, Python, R, HTML, SQL (MySQL)

Web Development Technologies: ReactJS, NodeJS, ExpressJS, MongoDB, Django

Data Management: SQL queries, Data cleaning and wrangling

Data Analysis: Pandas, NumPy, Scikit-learn, TensorFlow, Tableau, Power BI, PyTorch Data Engineering Tools: ETL processes, Data pipeline development, Data warehousing Machine Learning: Supervised Learning, Unsupervised Learning

Tools: VS Code, Google Cloud Platform, Git, MS Office, Xampp, Hive, Spark Data Visualization: Jupyter Notebook, Kaggle, Matplotlib, Seaborn, Looker Studio Others: Unstructured Data, Visual Representation, Data Structures, Report Writing

PROFESSIONAL EXPERIENCE

Student Training Assistant Jan 2023 – June 2024

Oregon State University Corvallis, OR, US

•Conducted comprehensive training for new hires on customer service, menu knowledge, safety

protocols, enhancing team efficiency and service quality.

•Led virtual onboarding sessions, improving new hire integration and operational readiness.

•Managed daily operations and coordinated staff, ensuring high standards of food quality and services.

Sports Data Analyst March 2023 – Dec 2023

Oregon State Women’s Soccer Team - Volunteer Corvallis, OR, US

•Analyzed player performance data using statistical techniques and data visualization tools to enhance training and game strategies.

•Developed interactive dashboards and visual reports with Tableau and Excel, aiding coaches in data-driven decision-making.

•Improved data collection and management processes, supporting accurate team performance analysis and strategic planning.

Data Analyst June 2022 – Dec 2022

Cosmos Textile Pvt. Ltd. - Apprenticeship Ankleshwar, GJ, IN

•Analyzed production and inventory data to enhance manufacturing efficiency and reduce waste.

•Automated data reporting processes using Python and SQL, improving accuracy and speed.

•Developed dashboards in Tableau to monitor key metrics and support strategic decision-making.

Full Stack Developer Jan 2022 – Apr 2022

Enlighten Infosystem Pvt. Ltd. - Internship Vadodara, GJ, IN

•Led ReactJS and NodeJS-based web app projects, creating key components for streamlined navigation and integrating

Razor Pay, boosting productivity by 10% improvement in app structure and user experience.

•Utilized Axios in Node.js backend for secure authentication, optimized requests, and enhancing registration.

•Improved reliability with @testing-library/react and Jest, reducing bugs by 20% and boosting satisfaction.

•Created compelling project presentations aiding senior staff decisions.

Android Developer May 2021 – Jun 2021

Techomax Solutions Pvt. Ltd. - Internship Bharuch, GJ, IN

•Enhanced Android app UI with Java and Android Studio, ensuring cross-device compatibility.

•Simplified authentication via social media logins (Google, Facebook, Apple), resulting in a 20% increase in user sign-

ups.

•Optimized MySQL database schema for efficient storage and retrieval.

PROJECTS

ML - Sentiment Analysis Python, Scikit-Learn, Word2Vec, Natural Language Processing April 2024

•Implemented and analyzed various machine learning algorithms including k-Nearest Neighbors (k-NN), Perceptron,

and Support Vector Machines (SVM) for sentiment analysis on movie reviews.

•Explored the effectiveness of word embeddings (Word2Vec) compared to traditional one-hot vector rep-resentations

•Optimized a linear SVM classifier by tuning the regularization parameter, attaining the best performance with a 23.4% error rate on the development set with word embeddings

Soccer Performance Analytics Python, SQL, Tableau Nov 2023

•Utilized statistical analysis and Python scripting to evaluate player performance metrics for the Oregon State Women’s Soccer Team.

•Engineered dynamic dashboards and visualizations in Tableau, optimizing strategic insights and enhancing decision- making for coaching staff.

•Refined data collection protocols and management systems to ensure high-quality, actionable performance data.

Analysis of Yelp Business Dataset Python, SQL, PySpark, GCP, Looker Mar 2023

•Performed data wrangling on large (4GB+) and unstructured Yelp dataset using Google Cloud DataPrep.

•Loaded and preprocessed cleaned data into Google Big Query for efficient analysis and querying.

•Conducted SQL-based analysis on Big Query to identify the top 10 most reviewed restaurants in Philadelphia, visualized

using Looker Studio.

•Leveraged PySpark on Google Cloud Dataproc for Sunday business trends, analyzed top 10 cities by business count,

and utilized GCP tools for efficient processing

Analysis of Covid-19 Data in India Python, SQL Data Wrangling, Data Visualization Feb 2023

•Applied the OSEMN framework to analyze COVID-19 dataset from the Indian Health Ministry.

•Performed data wrangling tasks including format conversion, inconsistency handling, and merging.

•Conducted exploratory data analysis to derive insights on active cases, recovery rates, mortality rates, and vaccination

trends.

•Utilized data visualization techniques like line plots, bar charts, and pie charts for effective communication.

•Implemented SQL for creating table schemas, loading data into a database, and querying.

Product Optimization with Data Automation Python, SQL, Tableau Aug 2022

•Performed data analysis on production and inventory metrics at Cosmos Textile Pvt. Ltd. to streamline manufacturing operations.

•Automated data reporting workflows using Python and SQL, enhancing data accuracy and processing efficiency.

•Developed comprehensive Tableau dashboards for real-time monitoring and strategic insights, supporting data-driven operational decisions.

CERTIFICATES

Geographical Information System Specialization: Aug 2024

Neural Networks and Deep Learning By Coursera: July 2024

Complete A.I, Data Science and Machine Learning Bootcamp By Udemy: May 2024 Google Data Analytics: July 2023

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