SAI GANESH. ALAPATI

advj9y@r.postjobfree.com 978-***-****

SUMMARY

Data Science professional with 3+ years of experience in delivering end to end data science projects us, Azure Machine Learning (Azure ML) and SQL

Proficiency in statistics, machine learning and creating compelling visualizations.

Worked in versatile roles for Manufacturing and analytics product development.

Developed interactive web applications using R-Shiny package for data visualization.

Profound analytical and problem-solving skills along with ability to understand current business processes and implement effective solutions.

Complement technical skills with business acumen to offer strong leadership & communication skills. Deliver results with customer focus and relationship management as an integral part of an engagement.

Proven to be curious to mine hidden insights and present complex data analytics to business leaders.

PROFESSIONAL SKILLS

TECHNICAL SKILLS:

Programming Languages

R, Python

Tools and Technologies

Machine Learning, Deep Learning, Power BI, Tableau, ETL, ELT

Operating Systems

Windows, Linux

Version Control Systems

CVS, SVN, GIT and GITHUB.

Database

MYSQL, SQL Server, db2

Methodologies

Agile, Scrum, Waterfall

Cloud Stack

AWS, GCP, Azure, Snowflake

PROFESSIONAL EXPERIENCE

Data ANALYST COSTAL INOVATIONS PVT.LTD

Sep 2020 – Dec 2021

Analyzed the employee travel data received from multiple data sources across the organization and implemented predictive models to reduce the travel cost and estimate budget.

Enhanced R packages such as stringiest, Fuzzy Join to compute similarity scores between inexact strings.

Identified anomaly patterns in the data that don’t confirm to expected behavior using exploratory analysis.

Leveraged machine learning models to classify employee travel expenditure segment based on significant features and extracted intuitive patterns.

Tools/Techniques: Excel / Azure Machine Learning / SQL Server 2014/ Tableau

Decision Science Executive COSTAL INOVATIONS PVT.LTD, India Nov 2018 - July 2020

Retail Analytics

Client is one of the world’s largest home furnishing organizations with good design and function at low prices

Predicted sales of a store given the store attributes to plan budgeting, staffing and marketing

Built an ensemble of machine learning models to forecast sales and perform model comparison using MAPE

Generated insights from the clusters to perform target marketing based on the customer profile such as age, education, income levels and median rooms.

Communicated the analytical process from data to insights to key stakeholders.

Tools/Techniques: SQL / Clustering

Allianz Insurance

Client is a vehicle insurance provider it has online quotes system where the agents enter finalized quotes and all its relevant details. Quotes are stored in a SQL server database and exported to JSON files at predefined location.

Automated the process to parse JSON files into tabular structure and store it in HDFS at regular intervals. Aggregated the data using Hive to generate descriptive statistics reports.

Worked with the customer to understand the data schema in SQL Server database.

Tools/Techniques: SQL / HIVE / Hadoop

EDUCATION

Master of Science Saint Francis College Aug 2023- present

Contact this candidate