SHAIK MISBAH BILAL

Phone: +1-337-***-**** ad2hko@r.postjobfree.com LinkedIn GitHub

EDUCATION

University of Houston Main Campus GPA:3.57/4

Master of Science in Data Science Graduated May 2023 Relevant Coursework: Python for Data Analytics, Information Visualization, Database Management & Architecture, Probability Stat for Engineers, Machine Learning and Computer Vision Osmania University, Hyderabad, India GPA: 8/10

Bachelor of Engineering Electronics and Communication Engineering June 2021 Technical Head in RAS(IEEE) at MJCET Project Head of R&D project Humanoid at MJCET TECHNICAL SKILLS

• Programming Languages: C, Python, SQL, MATLAB, Verilog

• Applications: PyCharm, Jupyter, Snowflake, Git, Google Actions, Google DialogFlow, Arduino

• Reporting Tools/Databases: Power BI, Tableau, Excel, MYSQL, PostgreSQL, Big Query, Microsoft SQL Server

• Device Modules: Raspberry Pi, Arduino series, Atmega series WORK EXPERIENCE

Widhya.org

Data Analyst Jan 2021- Nov 2021

• Developed a MySQL database for an Open Alumni Website, accommodating up to 20,000 alumni records.

• Created a user-friendly Dashboard for efficient data management.

• Collaborated with a team of interns to ensure seamless integration of the MySQL database and website.

• Conducted Data analysis, implemented validation techniques, and optimized query performance.

• Implemented data security measures and assisted in troubleshooting and maintenance tasks. MJCET R&D

Research Analyst Mar 2020 - Jan 2021

• Designed a humanoid robot with a data-driven control algorithm on Arduino Uno using servo motors,

• Worked with different microcontrollers like AVR/At mega, Arduino, and Raspberry Pi.

• engineered a data-enhanced tree-climbing robot and developed an IoT-based home automation system using data insights for user experience improvement.

PROJECTS

Vehicle Sales Forecasting July 2023

• Led meticulous Data analysis of US vehicle sales data with Pandas and NumPy, revealing intricate patterns.

• Applied the Prophet model with multiplicative seasonality and holidays for precise sales forecasts and trends.

• Produced strategic Tableau visualizations, and Dashboards to help ACME Trucks, resulting in 0.47% projected sales growth.

Oil Well Production (Big Data Analytics) May 2023

• Performed data analysis on real-time data sets of Volve oil field production encompassing 7 wells over 2008-2017

• Used Python for data preprocessing and transformation and trained various Machine learning (K-means Clustering, Decision tree, Linear regression).

• Implemented Decision Tree solution successfully predicted the best revenue-generating oil wells for 2018-2020 with 98% accuracy. The predicted results were compared with most revenue-generating wells in the year 2018-2020.

• Data visualizations confirmed the abnormality of the data and made us reform the result and discard the first well as a natural resource well dries up and the remaining two wells will have increased the production of oil in the future by 10%

AI4i Machine Failure Prediction Dec 2022

• Developed a classification model to predict "high risk of failure" machines using Python, employing data preprocessing and the SMOTE technique to address data imbalance.

• Trained and optimized various machine learning models, with Random Forest identified as the best performer, based on ROC and AUC Curve analysis.

• The major challenge was to Identify true positives and recall values that were improved by 48%. House Market Cost Prediction June 2022

• Conducted EDA, dimensionality reduction, and feature engineering using Python for price prediction.

• Trained models using Lasso Regression, and Decision Tree algorithms, Linear Regression achieved 84% accuracy.

• Designed a website/UI using Python and Flask Server for accessible data presentation and visualizations.

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