Headline

Data Engineer & Analytics Professional | 5+ yrs in Data Ops, ETL, Campaign Analysis & BI | Skilled in Python, SQL, BigQuery, Power BI, Excel, Cloud (AWS/GCP) | Driving Workflow Automation & Actionable Insights

About

With a solid foundation in data analytics and a keen eye for translating complex data into actionable insights, I bring over five years of experience in the field, marked by significant contributions to the projects and organizations I have been part of. My expertise spans a broad spectrum of data science domains including Machine Learning (ML), Deep Learning (DL), MLOps, Generative AI, Computer Vision, Image Preprocessing, Natural Language Processing (NLP), Hypothesis Testing, Data Analysis, and Statistical Analysis. This diverse skill set enables me to handle a wide range of challenges and adapt to the evolving demands of the data science industry. During my tenure at Nepa from May 2022 to March 2024, I took on a variety of client projects, showcasing my ability to leverage market research and analysis methodologies to deliver impactful business solutions. My role involved leading project teams, enhancing business solutions through effective communication and collaboration, and applying analytical methods to drive data-driven insights. My efforts led to a 50% reduction in report creation time, significantly enhancing the efficiency and quality of client deliverables. I pride myself on my ability to automate manual processes using Python and VBA Macros, thereby streamlining operations and improving data integrity. Prior to Nepa, I served as an Ingest-Executive at Nielsen from February 2019 to May 2022. My responsibilities included managing and updating internal databases, enhancing data quality through normalization and standardization, and conducting in-depth research to maintain accurate schedule data. My contributions were instrumental in improving data consistency and reliability, thereby supporting the organization's database system robustness. My academic background includes a Postgraduate Program in Machine Learning and Artificial Intelligence from Imarticus Learning, a certification in Data Science from GreyAtom Institute, and a Bachelor of Science in Statistics from K.C. College, University of Mumbai. These educational achievements have equipped me with a thorough understanding of statistical modeling, quantitative analysis, and the technical skills required to excel in the data science field. I am eager to bring my wealth of experience, technical expertise, and passion for data science to your team, contributing to innovative projects and advancing the field of data analytics.

Location

Mumbai

Work experience

Data Engineer at Hansa Cequity, Mar 2025 - Present · 1 yr 2 mos, Mumbai, Maharashtra, India, Data Engineer | Hansa Cequity (Client: ABCD) At Hansa Cequity, deputed to client ABCD, I have been responsible for bridging data engineering and analytics, working across both the Data Science and Business Intelligence teams. My role has involved building scalable pipelines, streamlining reporting, and enabling data-driven decision making through campaign analysis and customer segmentation. ETL Development & Automation – Designed and optimised ETL workflows using Python/Jupyter (Vertex AI) and BigQuery. Converted multi-LOB Excel datasets into Parquet and automated ingestion to support daily analytics refreshes. Data Quality & Standardisation – Implemented processes to normalise dates, validate sequences, handle missing/invalid values, and remove duplicates, delivering clean, analytics-ready data tables. Reporting & Dashboards – Built BigQuery SQL reporting layers and fact tables for referral and qualified-transaction metrics. Delivered monthly and year-to-date dashboards using SQL, Advanced Excel, and Power BI, improving visibility of performance KPIs. Customer Segmentation & Campaign Analysis – Segmented large customer datasets for Direct-to-Consumer (D2C) marketing campaigns, enabling targeted engagement strategies. Extracted and analysed campaign data to generate recurring performance reports, identifying trends and optimisation opportunities. Workflow Modernisation & Troubleshooting – Migrated manual Power Pivot/Power Query Excel reporting into Power BI and programmatic pipelines, reducing manual effort and improving repeatability. Diagnosed and resolved BigQuery/SQL issues, applying query optimisation and validation checks to stabilise pipelines. Collaboration & Impact – Partnered with marketing and BI stakeholders to align segmentation logic and reporting deliverables with business objectives, ensuring insights translated into actionable strategies.

Analyst at Nepa, May 2022 - Mar 2024 · 1 yr 11 mos, Mumbai, Maharashtra, India, Analyst | Data Analysis, Market Research, Automation, Excel, SPSS As an Analyst at Nepa, I led diverse data-driven projects, applying advanced market research methodologies and leveraging tools such as SPSS, Office Reports, and Advanced Excel. My work resulted in actionable insights that improved client decision-making processes by 25% and increased project efficiency by 30%. I collaborated with cross-functional teams across international markets to drive data analysis, visualization, and reporting, contributing to a 15% boost in market penetration. Key Achievements: ● Delivered high-quality presentations, increasing stakeholder engagement by 20%. ● Automated reporting processes using Office Reports, SPSS and VBA, reducing manual tasks and cutting report creation time by 50%. ● Developed and managed end-to-end data projects, ensuring accurate data collection, analysis, and report generation. ● Enhanced data integrity through process optimizations, improving project accuracy by 30%. ● Led efforts to streamline data processes, reducing execution time by 50% and enhancing the quality of deliverables. I excel in both technical and soft skills, including project management, stakeholder communication, and teamwork, while consistently focusing on process improvements and delivering impactful insights.

Ingest-Executive at Nielsen, Feb 2019 - May 2022 · 3 yrs 4 mos, Mumbai, Maharashtra, India, Ingest Executive | Data Management, Advanced Excel, Data Standardization As an Ingest Executive at Nielsen, I played a key role in managing and enhancing data accuracy across internal databases, ensuring 100% consistency and quality of metadata and program information. My responsibilities included normalizing and standardizing raw broadcaster data using advanced Excel functions and VBA macros, improving data quality by 60%. I also conducted in-depth research to maintain 95% accuracy in local, national, and international media schedules, while performing content mapping for OTT platforms, which reduced data retrieval time by 20%. Key Accomplishments: ● Streamlined data processing workflows, reducing project execution time by 25% through process improvements and team collaboration. ● Enhanced data reliability by 30% by resolving duplicate entries and ensuring data consistency across multiple channels. ● Prepared productivity and error reports, leading to a 20% reduction in errors and improved overall efficiency by 15%. ● Led cross-team coordination to ensure the timely and accurate completion of deliverables, improving inter-departmental collaboration. I also utilized my technical skills to automate routine tasks, significantly improving productivity and freeing up valuable time for more strategic work.

Business Development Intern at Medlanes GmbH, Jan 2015 - Jun 2015 · 6 mos, Mumbai, Maharashtra, India, Successfully completed a six-month internship programme in Business Development for Medlanes GmbH, Berlin, Germany under the guidance of Mr. Erik Stoffregen, CEO, Medlanes GmbH. Assisted Medlanes team in market research, pilot project, and launching the subsidiary for Medlanes GmbH in India.

Education

Bachelor of Science - BS, Statistics, KC College

Public links

github: https://github.com/Santoash619