Vishak Baburaj

I specialize in building data solutions that drive measurable business outcomes. My work focuses on developing scalable analytics pipelines, predictive models, and interactive dashboards that enable teams to make informed, data-backed decisions.

𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗙𝗼𝗰𝘂𝘀:I'm passionate about solving complex business problems through advanced analytics, from data extraction and modeling to visualization and cross-functional collaboration. My approach combines technical rigor with strategic thinking, ensuring insights translate directly into actionable business strategies.

𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲:
●𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: Python, SQL, MySQL, PostgreSQL
●𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: Google Cloud Platform (BigQuery, Cloud Storage, Colab Enterprise, Looker Studio), Amazon Web Services (S3, Athena, QuickSight)
●𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴: Power BI, Looker Studio, Excel, Google Sheets
●𝗖𝗼𝗿𝗲 𝗖𝗼𝗺𝗽𝗲𝘁𝗲𝗻𝗰𝗶𝗲𝘀: Data Analytics Pipeline Development, ETL, Data Modeling, Exploratory & Inferential Analysis
●𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗠𝗟: Machine Learning, Predictive Modeling, Statistical Analysis, Regression, Clustering, NLP, Time Series Forecasting

𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻:Dual Master's degrees in Data Analytics from Christ University (Bengaluru, Karnataka, India) and Virginia Commonwealth University (Richmond, Virginia, USA).

Every dataset tells a story. My role is uncovering those narratives and translating them into clear, impactful recommendations that teams can act on. I approach each project with creativity, precision, and a commitment to delivering solutions that create tangible business value.

Results-driven Data Analyst with over 3 years of experience improving operational efficiency, financial performance, and decision-making in the education and retail sectors. Skilled in transforming raw data into actionable insights using SQL, Python, Excel, and BI tools such as Looker Studio and Power BI, with hands-on expertise in Google Cloud Platform and AWS ecosystems.

At Kidvento Education & Research, delivered measurable business impact by leading a 5-member CRM implementation, automating financial and operations reporting, building forecasting frameworks, and standardizing KPIs across multiple departments. Earlier experience at Nandus Foods involved developing a demand forecasting model and inventory optimization framework deployed on AWS, while an internship at Ourdate (USA) honed product analytics and customer behavior insights.

I completed my Master’s in Data Analytics from Virginia Commonwealth University in Richmond, Virginia, USA in 2022, gaining U.S. graduate-level training in statistics, database design, forecasting, and BI. I worked on projects like sentiment analysis of 40K+ survey responses in Python and a patient transfer prediction model in R, which deepened my interest in applying analytics to real-world business and healthcare problems.