About Me

I envision myself as an influencer Data Scientist/ Data Analyst to deliver valuable insights from data where I can utilize my technical and managerial skills to permute business decisions and guide organizations towards great efficiency.

I worked as an Application Developer in Unisys and IBM, Bangalore, India for 3+ years from July 2019 to July 2022.

I define my work in Unisys and IBM as 50% Analytics and Visualisation combined, 30% ETL, and 20% client handling. Working in such a wonderful environment with a great team and superb leaders was my pleasure.

Currently, I am a Master's student in the domain of Business Analytics and Information Science with a major in Data Analytics from the University of South Florida in Tampa, USA. I am specialising in Statistical Data Mining, Data Warehousing, Data Science Programming, Data Visualization, Machine Learning and Big Data.

Shape



My Expertise

Data Scientist

As a Data Scientist, my primary focus is on extracting insights and knowledge from complex data sets using cutting-edge techniques in statistical analysis, mathematics, and computation. My proficiency in programming languages such as Python or R allows me to clean and preprocess data with ease, as well as create visualizations to communicate my findings in a clear and concise manner.

Data Analyst

In the role of a Data Analyst, I excel at gathering, processing, and analyzing large data sets to derive actionable insights. Utilizing advanced tools like SQL, Excel, and Power BI software, I am able to interpret complex data and identify trends and patterns with ease. I am also skilled in preparing and presenting data-driven reports, dashboards, and presentations to stakeholders.

Data Engineer

As a Data Engineer, my responsibilities include designing, building, and maintaining infrastructure that can handle and process large amounts of data. With my expertise in SSIS and MS Azure, I develop and maintain databases, data pipelines, and data warehouses to ensure efficient storage, retrieval, and analysis of data.

Project

RELEVANT WORK EXPERIENCE



IBM Microsoft Analyst - Application Developer

Dec 2021 - July 2022
  • Supervised a team of 12 members, who were responsible for rollout activities, client demos and training sessions for BIAL
  • Increased sales by 15% by analyzing EPOS sales data and providing recommendations using statistical and predictive modeling
  • Collaborated with CX team to create dashboards using Power BI to track KPIs like customer churn rate and net promoter score (NPS)
  • Boosted customer engagement by 20% using complex SQL queries to extract data insights of inactive customers for marketing team
  • Optimized the response time by 12% by designing complex stored procedures, functions, views, and SQL joins
  • Developed QMS in BIAL to decrease the passenger waiting time by 35% with the help of the data ingestion process and further used Power BI and DAX to analyze the quality of operations
  • Preprocessed, filtered, performance-tuned and analyzed multiple large datasets using Python for predictive analysis of year and quarter-wise revenue, helping the stakeholders in a cost saving of around 10 million
  • Performed data warehousing/migration from IAAS to SAAS as a Subject Matter Expert, helping the team to move to Azure cloud services, and automate complex business processes resulting in cost savings of 2.1 million

Unisys | Application Developer

July 2019 - Dec 2021
  • Set-up Data Intelligence Centre of Excellence (DICE) for Bangalore International Airport, one of the first in Indian Aviation landscape
  • Integrated over 9+ structured and unstructured data sources like AODB (Airport Operational Database), SAP through SSIS Packages to increase the analytics on the raw data coming from Operations
  • Developed and maintained client databases using SSMS eliminating manual procedure and saving 14 hours of manual work each week
  • Improved data quality by using SQL queries to clean/crunch the data and then used SSIS for data manipulation and transformation
  • Utilized multiple supervised and unsupervised algorithms, deep learning techniques to improve prediction of flight time and routes
  • Improved the demand forecasting using linear regression in Python that helped to reduce backorders to retail partners by 8%
  • Worked in Agile Methodology using Scrum and was responsible for designing, testing sprint-related documents and enhancements
  • Reduced the SQL query run time by 40% by changing structures, modifying indexes and setting transaction isolation levels
  • Prepared and managed data models for over 30+ Reports/Dashboards, and 20+ Dataflows with end-to-end collaboration with key business partners using Power BI and DAX

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