Available to hire
Hi, I’m Muhammed Nihal Parakkottu, a data analyst passionate about turning messy data into clear, actionable insights. Over 4+ years, I’ve helped education tech, SaaS, and B2B analytics teams optimize decision-making through SQL, Python, and polished dashboards.
I enjoy building scalable ETL pipelines, collaborating with product and marketing teams to define KPIs, and delivering predictive and diagnostic models that inform strategy. In my experience I reduced refresh times, improved SLA compliance, and uncovered upsell opportunities across client portfolios.
Skills
Language
English
Fluent
Work Experience
Data Analyst at Trinity Technolabs
October 1, 2024 - PresentConsolidated raw datasets from MySQL and PostgreSQL into structured models, reducing ad-hoc query requests by 160+ per quarter. Engineered Tableau dashboards tracking customer engagement, revealing ₹3.2 Cr upsell opportunities. Optimized ETL pipelines with Python, cutting refresh cycles from 2.5 hours to 28 minutes while maintaining 100% SLA compliance. Collaborated with product managers to define KPIs and BRDs, influencing 5 roadmap decisions. Implemented anomaly detection scripts in Excel and R, preventing 47 potential client billing errors. Delivered monthly reports merging marketing and sales pipelines in Power BI, forecasting revenue with ₹1.1 Cr variance accuracy.
Data Analyst / Technical Support Engineer at Next Education
August 1, 2022 - September 30, 2023Built SQL scripts to analyze system logs for 120+ school clients, reducing average ticket resolution time by 9.3 hours. Created performance dashboards in Google Data Studio and BigQuery, tracking engagement across 3,500+ learning modules. Conducted root cause analysis of high-priority incidents, reducing repeat support calls by 27%. Translated user feedback into structured datasets, resulting in 12 new product features. Authored internal tool documentation, reducing L1 support escalations by 600+ annually. Supported churn analysis with Excel Power Query and DAX, guiding a 3-month pilot retention strategy for key accounts.
Data Analyst at Trinity Technolabs
May 1, 2020 - July 31, 2022Designed Power BI and Tableau dashboards tracking campaign ROI, generating ₹2.4 Cr in additional revenue. Standardized large datasets using SQL and ETL pipelines, reducing monthly reporting errors by 420+ records. Modeled customer segmentation with Python, increasing active users by 6,700 in two quarters. Automated reporting tasks with Excel VBA and Power Query, cutting prep time from 10 hours/week to 90 minutes. Produced quarterly executive reports combining sales, support, and finance data, securing 5 new enterprise contracts.
Education
MSc in Business Analytics and Consultancy at University of Hertfordshire
September 1, 2023 - October 1, 2024BBA (Finance) at University of Calicut
July 1, 2017 - April 1, 2020Qualifications
Industry Experience
Education, Software & Internet, Professional Services
Skills
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