About Me
About Me
"Like water, data is abundant, but the wisdom to use it wisely is scarce." - Ziya Ma
TECHNICAL SKILLS
Programming and Database:Python, R, SQL, PL/SQL, NoSQL, DAX, Hive, AWS RDS
AWS, EC2, Glue, Crawler, AWS-Lambda, Informatica, SAP
Tableau, Power BI,Looker, Excel, Matpolib
VS Code, AWS Management Console, Docker, JIRA, Talend, Alteryx, Apache Airflow,Jira, Confluence
Google Data Analysis, "Spark, Hadoop, Snowflake for Data Engineering",AWS:Cloud Fundamentals
Hello! I'm Tanuj Verma, and since 2013, I've been creating impactful data engineering and analytical solutions focused on CI/CD automation and data migrations. My expertise spans Python, SQL, Alteryx, Power BI, and Tableau. I played a key role in the $10 billion Vodafone Idea merger and have been honored with Two Employee of the Year awards.
This website showcases my journey, sharing projects, insights, and lessons learned along the way. Each project here highlights a step in my ongoing adventure in data engineering and analytics.- Profile: Data Engineering, Busines Intelligence & Analytics
- Domain: Retail, Ecommerce, Telecomm, Finance & HealthCare
- Education: Master's in Information Systems : Data Analytics and Engineering
- Language: English, Hindi, German
- BI Tools: Microsoft Power BI, Tableau & Looker
- Other Skills: Machine Learning, Statistics, Data Modeling, Data Pipelines, Data Ingestion, APIs, Spark, Hadoop, AWS, SAP-Cloud
- Interest: Traveling, Teaching, Aviation Enthusiast, Culinary Arts
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Resume
Resume
Experienced Data Engineer with 5+ years in enhancing business strategies through data-driven solutions. Proven skills in data integration, statistical analysis, CI/CD automation, cloud migrations, and project management.
Experience
Data Consultant
Sept 2024 – Present
American Technical Consultancy, LLC, RemoteETL & Data Compliance | SQL | Python | eKYC | AML | Reporting Automation
Optimized ETL pipelines under compliance regulations, reducing errors by 3% and enhancing data integrity. Automated reporting workflows using SQL & Python, boosting operational accuracy by 2%. Mentored students through mock interviews and technical workshops, increasing placement success by 3%.
Senior Data Insights Engineer
Dec 2021 - July 2022
Vodafone Intelligent Solutions, IndiaAgile Project Management | Alteryx | Power BI | Tableau | Data Governance | SAP-ERP
Directed a 22-member Agile team to optimize SAP ERP data integrations and workflows, achieving a 30% boost in system efficiency. Established robust data governance protocols, enhancing audit analytics efficiency by 19%. Managed extensive Alteryx ETL pipelines and utilized Power BI and Tableau to advance strategic data analysis, improving anomaly detection and tariff strategies.
Data Analyst
Aug 2017 - Nov 2021
Vodafone Intelligent Solutions, IndiaSQL | Azure | Python | Data Migration | Collaborative Problem-Solving | KPI Development
Revamped SQL automation projects to reduce operational costs by 28% and enhance system integration and reliability. Orchestrated the migration of 15TB of data to Microsoft Azure, increasing data processing speeds and accuracy by 30%. Improved CI/CD pipeline operations and crafted predictive maintenance models using Python, reducing equipment downtime by 13%.
Education
Master of Science in Information Systems
2022-2024
Northeastern UniversityGrade: First class distinction.
Bachelor of Engineering in Electronics and Telecomm
2013-2017
Mumbai UniversityGrade: First class distinction.
Projects
Projects
Here are some of my projects in Data Engineering, Data Science, and Analytics, utilizing Alteryx, Tableau, SQL, Python, and Machine Learning, showcased in my portfolio.
SmartFares: Predictive Pricing for Ride Services
Developed a predictive model using machine learning to optimize fare pricing for ride-hailing services, enhancing business profitability and customer satisfaction.
FilmFlux Analytics: Data-Driven Movie Intelligence
Harnesses ETL processes, data validation, and dynamic dashboards to derive strategic insights from comprehensive IMDB movie data.
PredictMD: Symptom-Based Disease Predictor
Implements a sophisticated machine learning pipeline to translate symptoms into disease prognosis, enhancing medical decision-making with high accuracy.
Compliance and Safety Analytics for Food Facilities
"The Food-Facility-Compliance-Engine leverages advanced ETL and BI technologies to process and visualize inspection data from Sonoma County's official government database, boosting compliance and safety in local food facilities."
E-Commerce Review Analysis with Machine Learning
A sentiment analysis project using Naive Bayes and web scraping to classify e-commerce product reviews from Trustpilot, aiming to understand customer feedback.
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Industry Awards
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Projects
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Students Impacted through NGO Initiatives
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Unique Recipes Cooked
More projects on Github
Contact Me
Contact Me
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