Hi,
I am Shanmukha
Rajasekhar Somireddi

Data Engineer TiMAD solutions | IUB | Data Scientist J&J | Ex-Accenture

Contact

About

I am Shanmukha Rajasekhar

A Passionate Data Science & Analyst with 4+ years of experience in of experience in E-commerce, Healthcare and Insurance.

A highly motivated and analytical individual with a focus on data analysis and visualization to identify opportunities for enhancements and the ability to provide valuable insights to support business operations.

Skills

A problem solver with a strong acumen of Reporting analytics, data visualization, ETL and optimizing operations through data-driven insights.

I bring a strategic perspective to the table, with a focus on data analysis to identify opportunities for enhancements and the ability to provide
valuable solutions to solve business problems.


Python | R | Javascript
Tableau | Power BI | Looker | Excel | DAX | Alteryx
Statistics | Machine Learning | NLP | Deep Learning | Gen AI
SQL | MySQL | Athena | Access DB | Snowflake
JIRA | AWS | Visual Studio | VBA | Salesforce

Work

Airbnb Reservations Analysis:
Data Visualization

(Tableau, Excel, Python, R, Analysis)

Improved occupancy rates by 10% through data-driven business strategies developed in a Tableau Desktop
Identified key parameters impacting rentals, using Python and Power BI resulting in a 25% increase in overall revenue

Book Recommendation System

(Python, KNN, SVD, SQL)

Modeled Singular Value Decomposition (SVD) based matrix factorization to obtain user-item interactions
Developed Collaborative Filtering using KNN algorithm & applied cosine distance to measure user-item similarities

Twitter Sentiment Analysis


(NLP, Machine Learning, Analysis, Python, Jupyter Notebook)

Performed NLP operations such as lemmatization, tokenization, stop words removal using Python’s nltk library
Implemented Logistic Regression, XGBoost, Decision Tree machine learning models to predict the review category

Online Retail Sales Analysis

(Python, Apriori Algorithm, Association Analysis, Data Analysis)

Conducted data-driven Customer Segmentation, categorizing based on behavior, preferences, and demographics
Increased sales of top-performing products by 20% through association analysis, enabling targeted marketing

Minimal Monthly Temperature Forecast

(Python, SARIMA)

Applied SARIMA (Seasonal Autoregressive Integrated Moving Average) to predict temperatures in the future years
Executed Dickey-Fuller test to ensure data is stationary & removed temporal dependency using differencing

Epileptic Seizures Prediction

(Python, Tensorflow, Keras, Machine Learning, CNN)

Achieved 85% accuracy in epileptic seizures prediction using Convolutional Neural Networks (CNNs)
Applied Fourier transforms to EEG data, converting it into images for optimized seizure prediction accuracy

Contact

Email : ssomired@iu.edu
Phone : 201-856-1782