My Digital Portfolio - Adarsh Chikkaswamygowda

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Who Am I ?

About Me

Enthusiastic Data Professional with a Master's degree and experienced problem solver in Automotive, retail and ecommerce business. Proficient in sculpting stories from raw data using statistical modeling, Machine Learning, and a keen eye for quantitative analysis. I thrive on decoding complexities, transforming them into compelling insights, and curating tailored reports for diverse stakeholders. Profound expertise in Azure and data warehousing underscores my knack for detail-oriented problem-solving, all in pursuit of collaborative, data-driven excellence.

What I Do ?

Interests

DATA ANALYTICS

Proficient in extracting actionable insights, optimizing processes, and driving informed decisions through comprehensive data analysis.

MACHINE LEARNING

Skilled in developing predictive models and leveraging algorithms to uncover patterns, enhancing decision-making and innovation.

DATA VISUALIZATION

Experienced in creating compelling visual narratives, translating complex data into intuitive visualizations for clear, impactful storytelling.

DEEP LEARNING

Profound understanding and application of neural networks, advancing capabilities in pattern recognition and complex data analysis.

What I Have/Earned?

Technologies & Certifications

SQL

- HackerRank Verified SQL Advance

- IBM Certified SQL database

- Solved 150+ Leetcode problem

- Proven experience in live project

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Python

- IBM Certified Python Data Analysis

- Obtained Leetcode Pandas Badge

- Solved 60+ Leetcode

- Proven experience in live project

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Power BI

- Azure Certified in PowerBI

- Experience from personal project

- Skilled in Advance Visulaization

- Proven experiencein live project

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MS Excel

- IBM Certified Advance Excel

- Proven experience in live project

- Top 2% in Linkedin Skill Assessment

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Microsoft Azure

- Trained in Azure Services

- Synapse Analytics

- PySpark, DataBricks and Warehousing

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Machine Learning

Proven Experience in developing Supervised and Unsupervised Machine Leaning models and Refining them for efficiency improvement.

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What I Did ?

Projects

Titanic - Machine Learning from Disaster

Leveraging Supervised Machine Learning to create a model that predicts which type of passengers survived the Titanic shipwreck.

Customer Personality Analysis

Performing Unsupervised clustering algorithm to identify the key customer and summarize customer segments.

Price prediction for used car

Development of price prediction model using regression machine Learning algorithm.

Enhancement of RFM model for Market Segmentation

Feature Engineered new attribute to improve the efficency of segmentation model.

House Prices Prediction - Advanced EDA analysis

Step-by-Step exploratory data analysis for creating model to predict potential price.

NLP-Sentiment Analysis for Tweeter Data

Study the subjects of recent tweets about the vaccine made in collaboration by Pfizer and BioNTech, perform various NLP to Identify sentiment of commenters

How I Can Present?