Machine Learning Power Bi

NAEEM SHAIKH

Pune, Maharashtra 91-704******* *******.******@*****.***

SUMMARY

I’m a data-driven professional with a strong background in data analysis, machine learning, and business

intelligence. Over the past few years, I’ve worked across industries including insurance, healthcare, and IT

services, helping teams make better decisions by turning raw data into meaningful insights. I'm comfortable

working with large datasets, building ML models, designing dashboards, and automating data processes. I

enjoy solving problems with data and building solutions that create real business value. I work primarily with

Python, SQL, Power BI, Tableau, and have hands-on experience with cloud tools (Azure, AWS) and ML

deployment.

TECHNICAL SKILLS

Languages & Tools: Python, SQL, Power BI, Tableau, Power Automate, VBA, Excel

Machine Learning: Classification, Regression, Forecasting, Clustering, NLP, Computer Vision

Deep Learning: CNN, LSTM, Transformers, Transfer Learning

Libraries & Frameworks: Pandas, NumPy, Scikit-learn, TensorFlow, XGBoost, OpenCV, NLTK, SpaCy

Data Handling: Data Cleaning, ETL, EDA, Feature Engineering

Statistics: Statistical Testing, Inference, Time Series Analysis

Cloud & Dev: Azure, AWS, Model Deployment, APIs, Git

PROFESSIONAL EXPERIENCE

Analyst, Tata Consultancy Services (TCS) Aug 2024 - Present

At TCS, I focused on automating machine learning pipelines using Python and SQL, helping clients gain

faster and more reliable insights. I built interactive Power BI dashboards that made real-time data easier to

understand and act on. My work also included building and deploying machine learning models to improve

forecasting and decision-making. As part of the deployment process, I implemented CI/CD pipelines to

automate model integration, testing, and delivery. This ensured smooth and scalable deployment of ML

solutions into production environments, reducing manual work and deployment risks. I also managed ETL

workflows and collaborated with cross-functional teams to maintain clean, high-quality datasets.

MIS Senior Analyst (Data Analytics), Capita Private Ltd Aug 2022 - July 2024

During my time at Capita, I work with large insurance and customer datasets to uncover insights that

support strategic decisions. I use machine learning models like classification and regression to analyze

trends and forecast outcomes. I’ve also built automated dashboards in Excel to help business teams track

performance, and I’ve created end-to-end data pipelines that keep everything running smoothly behind the

scenes.

Representative Operations, Concentrix Private Ltd Nov 2021 - Aug 2022

At Concentrix, I worked with healthcare claims data—collecting, reviewing, and maintaining accurate records.

I used Excel to organize the data and ensured claims were processed correctly using medical codes like

HCPCS, CPT, and COB. This role helped me develop attention to detail and reinforced the importance of

clean, accurate data.

Intern (Data Analysis), Naik's Springfield Ltd Nov 2020 - Dec 2020

This internship introduced me to real-world data analysis. I helped clean and prepare raw datasets and

performed exploratory analysis to support reporting and model development. It was my first exposure to

applying data skills in a business setting, and it solidified my interest in data science.

EDUCATION

MBA in Artificial Intelligence and Machine Learning, DY Patil University, 2024

Bachelor of Business Administration Pune University, 2021

CERTIFCATION

Upgrad Campus Certification in Business Analytics Upgrad, 2022

AI 900 - Microsoft Certified: Azure AI Fundamentals

AZ 900 - Microsoft Certified: Azure AI

PL 300 - Microsoft Certified: Power BI Data Analyst Associate

Smart Analytics, Machine Learning, and AI on Google Cloud

Analyzing Data with Python (EDX) SQL for Data Science (EDX)

Python Basics for Data Science (EDX)

PROJECTS

Stock Price Predictionusing Machine Learningin Python

Built an LSTM-based stock prediction model using Python (TensorFlow, Scikit-learn). Implemented time-

series forecasting techniques and feature engineering.

SAAS Pipeline Conversion (Upgrad)

Analyzedsales pipeline conversion using ML classification models to predictcustomer churn.Developed

Power BI dashboards to track conversion trends.

Bank Marketing (Upgrad)

Conducted EDA and predictive modeling on bankingcustomer behavior. Used logistic regression and

decision trees to improve marketing strategies.

Sun Pharma Case Study (Upgrad)

Conducted hypothesis testing and inferential statistics to evaluatemarketing impact on sales.

ADDITIONAL INFORMATION

Languages: English, Hindi, Marathi, Urdu.

Extra curriculum Activities: Football, Boxing, VFX, and motion graphics.

Date of Birth: 25 December 2000

Nationality: Indian

Gender: Male

Marital Status: Single

DECLARATION

I hereby declare that the information provided above is true to the best of my knowledge.

Date :

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