Data Analyst with 6+ years of experience in analysing and processing data using tools like SQL, Python, and R. I specialize in creating robust data pipelines, automating workflows, and ensuring data quality through statistical analysis and machine learning techniques. My expertise lies in deriving actionable insights from complex datasets and presenting them through impactful visualizations using Power BI. Skilled in working across diverse domains such as energy markets, IT, and marketing, I excel in fast-paced, Agile-driven environments, delivering data-driven solutions tailored to business needs.
Overview
7
7
years of professional experience
Work History
Senior Data Analyst
Rystad Energy, Oil Market Team
05.2023 - Current
Leading the RealTimeCube project, a visualization tool for real-time consumption data in the road, aviation, and maritime sectors with city, road location, airport, and country-level granularity
Developed robust data pipelines, automated using Python and SQL, ensuring high-quality, real-time data processing and delivery
Used Bitbucket for version controlling python and SQL scripts
Extensively used MS Office – Excel Power Query for data analysis and visualised data using pivot table for data visualisation purposes also used Power BI extensively for data visualisation
Leveraged web scraping tools like Beautiful Soup and Selenium for data extraction and collection
Implemented machine learning models to predict and address data lags efficiently
Conducted advanced data analysis, applied statistical methods and developed reusable complex statistical function to remove unwanted noise from large data sets, ensuring top-quality datasets
Authored complex Python scripts and SQL stored procedures to streamline pipeline automation
Worked very closely with the research and product team to discuss changes in the data which could be taken as data points for new commentaries and reports, also worked with Data Engineers team to automate the processing of data pipelines
Managed a team of three data analysts, leading projects and mentoring team members, worked on many projects autonomously right from requirement gathering stage to delivering of the project
Actively participated in the hiring process to onboard new data analysts
Data Analyst
Omnicom Media Group
12.2021 - 04.2023
Analyzed customer market data for a leading German luxury automotive client, using machine learning algorithms to understand market trends and develop future strategies
Automated data collection processes, reducing SLAs from3 hours to30 minutes using SQL stored procedures and Adobe workflow
Built Power BI dashboards for sales performance analysis across different geographical regions
Cleaned and transformed data using Python and SQL, performing extensive exploratory data analysis (EDA)
Delivered insights on campaign performance by analyzing lead generation and conversion trends
Data Analyst Intern
GetSociable
09.2021 - 11.2021
Designed data matrices from scratch using SQL and conducted initial visualization for insight generation
Extracted, cleaned, and analyzed data using R, Python, and Postgres SQL
Developed and visualized analytical algorithms with tools like ggplot2, Matplotlib, and Tableau
Senior System Engineer
Infosys
11.2017 - 12.2020
Performed ETL tasks using Informatica Cloud and SAP CPI for data integration and manipulation
Created seamless data transfer pipelines for various sources (MDM, SAP, Salesforce) and implemented security measures like encryption and decryption
Led a team of three, providing training and overseeing deliverables
Worked directly with clients to gather requirements and implement solutions