SHOUKATH ALI SHAIK

+1-930-***-**** ad35le@r.postjobfree.com linkedin.com/in/shoukath-ali github.com/shoukath-ali shoukath.me Education

Indiana University Bloomington Bloomington, IN

Masters in Data Science August 2023 – May 2025 (expected)

• Coursework includes Introduction to Statistics, Applied Algorithms, Applied Machine Learning, Advance Database Concepts, Applied Database Technologies, Data Mining . National Institute of Technology Patna, India

Bachelor of Technology in Computer Science and Engineering June 2017 – July 2021 Technical Skills

Languages : Python, R, C/C++, Java, JavaScript, HTML/CSS — Database: MySQL, PostgreSQL, RDBMS, Snowflake Developer Tools: Github, Anaconda, Google Colab, VS Code — Analytic Tools: PowerBI, SAS, Tableau Frameworks: Pytorch, React, Node.js, Flask, Dash, FastAPI — Cloud: IBM, Google Cloud Platform, AWS, Azure Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn(sklearn), statsmodel, sktime, scipy, ensembles Experience

Bharat Electronics Limited Dec 2022 – Jun 2023

Developer - Data and AI (Pandas, Numpy, EDA Flask, Fast API, Ensembles, Sklearn, Statsmodel) India

• Implemented a comprehensive end-to-end ML model, seamlessly managing live streaming data collection and ensuring continuous prediction in Multioutput-Multiclass classification scenarios.

• Developed and fine-tuned a base model, optimizing the code to achieve an impressive runtime speed of 0.1 ms, enhancing overall efficiency.

• Pioneered the construction of a Time Series forecasting system, leveraging statistical models such as ARIMA, SARIMA, SARIMAX, and forecasting modules. This innovation facilitated real-time prediction of 5-minute data for future scenarios, further enriching data-driven insights.

• Drafted detailed data science reports including statistical analysis, presenting multiple solutions along with their respective use cases for comprehensive problem-solving. BCS Technology Jun 2021 – Aug 2022

Associate Developer - Data Analytics (Python, EDA, ML models, NLP, SAS, Analytics Dashboard) India

• Orchestrated end-to-end data analytics projects, leveraging statistical analysis and data science practices to unearth profound insights and empower strategic decision-making for the client.

• Pioneered the creation of ZeroShotBot, an innovative AI chatbot, leveraging NLP, Word2Vec, clustering and LSTM models, significantly improved output accuracy with zero shot learning method compared to other models.

• Contributed significantly to the Data AI team, gaining proficiency in SAS, and leading tasks related to pipeline creation

(data plan), and real-time dashboard development. Successfully integrated ML models for predictive analytics, leaving a lasting impact on data-driven strategies.

Projects

Home Credit Default Risk analysis Python, EDA, Feature Engineering, ML Model(XGBoost, SVM), Neural Networks

• Revolutionized credit risk assessment for Home Credit by implementing automated predictive modeling using pipelines and machine learning algorithms. This streamlined processes and enhanced efficiency by 2%, with overall efficiency of 78%.

• Ensured heightened accuracy and reliability by strictly adhering to data warehouse and modeling rules (ER diagram) in predictive modeling for credit risk assessment.

SpaceX Data Science Project Python, Scikit, Folium, Seaborn, Plotly Dash, Metrics, Ensemble, PowerPoint

• Tasked to predict landing (success or failure). Built ML pipeline to train and evaluate ML models. The best outcome of the ML pipeline is - Decision Tree with accuracy - 87 percent

• Proficient in understanding business needs, perform technical analysis and generate reports using data science practices Portfolio HTML, CSS, JS, Github, Web2 - http:// shoukath.me, Web3 Portfolio - mr king.nft more.. Accomplishments

Machine Learning Specialization –DeepLearning.AI and Stanford

Introduction to Big Data (UC SanDiego)

IBM Data Science - Professional Certificate Microsoft Azure Data Fundamentals -DP-900 SAS Viya Overview Power BI Fundamentals AWS Cloud Practitioner Essentials

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