Data Science Visualization

Data Analyst Marketing Analyst Data Scientist Business Analyst Machine learning Engineer

Data Mining Data warehousing Agile Methodologies Business Process Modelling. Professional summary:

to excel in roles that revolve around insightful data analysis and compelling data visualization. I bring a strong passion for data and a wealth of practical knowledge to the role. My debut to the world of data science was through the challenging root cause analysis for low user conversions on their new release of A: B test performed for a very top merchant in India, where I analyzed and found the root cause of their decline in the user conversions on the new release. Skilled in performing root causes analysis for Ad-hoc queries in R/python, Developing API fixes, AI/ML, Generative AI and proposing solutions for improvements with statistical grounds, EDA, Feature Engineering, Model building for business, automate data analysis in R/Python, SQL, BigQuery, MS Access, OLAP & OLTP Databases, building customized analytics dashboard using R/shiny, setting up insightful reports/Realtime alerts using R.

Given my work experience, I've directly worked with merchants and closely with senior management on building merchant insightful reports, analytics for generic recon+settlement systems, building API's in R for data fixes, fast-tracked payment page release processes, ETL pipelines and dashboards. This experience has ignited me to possess a strong stakeholder management. Professional Experience:

Data Science Industry Practicum Intern, Detroit 05/2024 – 08/2024 ASX – Airspace Experience Technology Inc – AeroNet.

• Documentation for Docker and implementation for Map tools in Docker.

• Assisted with analysis of communication data between ground station and aircraft to detect failure points.

• Developed tools for route planning in service of an eventual automated traffic management system

• Conducted and visualized radio map data for Lansing, including vehicle radio range analysis and visualization.

Data Research Student Assistant: 01/2024-08/2024

Wayne State University College of Engineering – Detroit, United States

• Analyzed data to understand applicant demographics and implemented strategies on reaching as many applicants as possible implemented outreach programs to target a wider audience.

• Strategically analyzed applicant and student data to optimize outreach efforts, expanding program accessibility and diversity.

• Designed and executed surveys, questionnaires, strategically Orchestrated streamlined data collection processes, fostering collaboration across college departments and ensuring regulatory compliance.

*******************@*****.*** LinkedIn https://www.kaggle.com/brundashekar/code

https://github.com/Brundashekar 248-***-**** https://sites.google.com/view/brunda-shekar/home With over 6+ years of dedicated experience in Data analytics, Business Intelligence, ETL, Data Visualization, Data Governance, AWS Cloud, AI/ML,Generative AI and stakeholder management. I'm passionately driven

• Implemented advanced data management tools to glean actionable insights, driving informed program enhancements and strategic decision-making. Created flyers on Canva for organizing events to target more students for this program.

Instructional Teaching Assistant: Python 08/2023 - 12/2023 Wayne State University College of Engineering – Detroit, United States

• Served as a Teaching Assistant and Lab Instructor for "Introduction to Programming and Computation: Python – BE 1600" course at Wayne State University under Professor Thaer Jayoussi.

• Guided students through lab assessments, providing instruction and support to enhance their programming skills.

• Evaluated and graded lab assessments and assignments, ensuring accurate and fair academic assessment. Data Analytics Product Management Intern, AAYM – Detroit, United States 09/2022 - 09/2023

•

• Utilized management tools like Asana, integrated with Microsoft Teams, and Signal Hire for effective project and communication

• management.

• Conducted qualitative customer research and maintained project plans, tracking dependencies and updating milestones.

Data Analyst, Juspay Technologies Pvt Ltd – Bengaluru 01/2019 - 05/2022

• Root causing issues and implementing solutions to enhance revenue and success rates by 53%.

• EDA/Feature Engineering for Business: Performed Exploratory Data Analysis for Business on different products (payment page, UPI, Recon) in Bigquery/Python.

• Created tools using Jupyter notebooks to automate the initial phase of analysis, helped deliver the accurate results in half the time.

• Business Analysis: Executed root cause analysis for ad-hoc queries in R/python and proposing solutions for improvements in statistical grounds to improve user conversion for the merchant.

• Providing eye-catching insights for internal product teams (payment page, recon, upi) on improvising thee product and providing data sanity checks on funnels by bringing intelligence to the team.

• Real Time alerts: Setting up real-time alerts for internal product teams and merchants to proactively identify issues.

• Automate reports: Configuring insightful performance reports to merchants primarily to identify actionable to improve their success rate and get visibility.

• Setting up automated reports for Merchants as per the requirements in various formats (csv, excel, pdf, shiny rmarkdown) and sending insightful through various sources(slack, email, sftp).

• ETL's and Automating scripts: ETL Pipelines to transfer and clean data from OLTP databases like MYSQL, Postgres and load into OLAP data warehouse BigQuery, Clickhouse.

• Automated R scripts and APIs for data fixes: Build APIs for card BIN automation and other DB status mismatch data fixes.

• Spearheaded a team to build a generic recon+settlement system.

• Fast-tracked releases by automating release processes for the payment page.

• Build customized analytics dashboard using R/shiny /Grafana based on merchant's requirements.

• Attended various client calls to gather requirements and pain points, perform analysis and deliver the results in an intriguing fashion.

Technical Product Analyst - Data Team 01/2019- 12/2019 Managed multiple teams with Data Governance Strategies with AAYM, focusing on global yoga awareness, and oversaw two critical system modules.

Juspay Technologies Pvt Ltd – Bengaluru

Technical Product Analyst Intern 09/2018 - 12/2018 Juspay Technologies Pvt Ltd – Bengaluru, India.

Skills/Languages/Tools /Framework:

Python Library numPy, SciPy, TensorFlow, Py Torch, Pandas, Matplotlib, scikit-learn, keras, scapy Machine

Learning

Linear/Logistic Regression, SVM, Random Forest, KNN, K-Means, Naïve Bayes, Decision Tree, hugging face libraries

Analytics tools Business Intelligence, Merchant Insightful Reporting by R, Alteryx, Funnel Analytics. Data visualization high charts, Tabulae, Alteryx, Power BI, ggplot Data Crunching R/ Google Big Query, Market Analytics, Automating scripts in R, API fixes in R Computational

Intelligence

Machine learning methods to solve complex analytics problems and develop decision support systems, project-centric approach for Intelligent Analytics. DevOps &

Deployment

AWS Azure DevOps and docker build for Map tool, API fixes in R & deployment. Operating System MacOS, Ubuntu, Linux.

Data

Visualization &

BI

Tableau, Microsoft Power BI, QLIK Sense, High charts Databases MS SQL, Mango DB, MS Access, Google Big Query, Postgres, Click house, OLAP & OLTP Designing/ppt

tools

Canva, MS Excel

Tools Hugging face, Databricks, Power BI, Synapse, MS SQL Server (SSMS, SSIS), MS Visual Studio, InteliJ IDEA, MS Office.

Cloud

Technology

Amazon Web Services (AWS), Microsoft Azure.

Methodology Agile, Scrum, Waterfall, Stakeholder Management, Business Process Modelling. Version Control Git, bitbucket, JIRA

Education:

Master of Science: Data Science and Business Analytics, Anticipated 12/2024 Wayne State University – 4 GPA - Detroit, MI

PG Diploma in Data Science and Business Analytics, 11/2022 IIIT Bangalore PG Diploma in Data Science – Bengaluru Bachelor of Science: Computer Science, 08/2018

M.S. Ramaiah University of Applied Sciences – Bengaluru COURSE PROJECTS:

1. California Housing Price Prediction: -

Developed a predictive model to estimate

median house values in California.

Created a machine learning model to predict

housing prices in various California districts

based on multiple features. Analyzed housing

data to aid homebuyers, sellers, and real

estate professionals in property valuation,

investment decisions, and understanding

market trends.

2.Brain tumour classification:

Developed a robust machine learning model for brain tumor classification using MRI images.

Leveraging deep learning techniques, MLP to classify brain images into tumor/non tumor classes.

Used Transfer learning model, Imagenet 21K pre-

trained model.

Added 2 dense layers to tweak as binary classifier. 3.DSE6000: Preformed exploratory Chronic

disease analysis in USA by building the

dashboard, and representing insights with

different plots like correlation heatmap,

count of each topic in the

Dataset. Displayed mortality

trends/hospitalization trends with beautiful

visualizations and found insights. Made an

initial analysis of data for Applied ML

predictive analytics by building a suitable

regression model to do some predictions by

selecting suitable independent variables.

4. DSB6000: Project on how organizations like VBC

board can leverage data science and analytics to gain competitive advantage and how to use the

data to align with a company's mission & goals.

Presentation on how VBC

addresses each of the 9 elements of the data science strategy Culture,

. Program Management and Strategic Roadmap.

. Highlighted the process of extracting business value and impact, determine

5. DSA6000: Classification Model

Benchmarking:

Conducted a comparison of classification

models using a set of 20 Datasets. The

project comprised two distinct phases: in the

first phase, we utilized default predictors,

while in the second phase, models were

constructed through forward model selection

from various datasets.

KAGGLE PROJECTS:

● Machine Translation: Task of automatically

translating text or speech from English to

French.

● California Housing Dataset: -Tsne, uMAP, F-

test ANOVA, PCA.

● Customer Churn Analysis: Created a logistic

regression model to predict the category of

churned customers in Telecom Industry.

● Lead Scoring – Case Study [Model Building]

Kaggle: Built a logistic regression model to

assign a lead score between 0 & 100 to each of

the leads which can be used by the company to

target potential leads.

● Bike Sharing Linear Regression Model

Kaggle: Created an ML Model using linear

regression to predict the factors affecting bike

demand.

● IMDB EDA - Case Study Kaggle: Performed

an EDA on IMDB Dataset and found some

interesting insights into these movies, voters

using Jupyter notebooks in Python.

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