Data Analyst with 4+ Years in Analytics and Dashboards

MUHAMMED NIHAL PARAKKOTTU

Data Analyst

London, UK +44-774*-****** **********@*****.*** LinkedIn Professional Summary

Data Analyst with 4+ years of experience delivering actionable insights, automating ETL processes, and designing dashboards for education tech, SaaS, and B2B analytics. Proficient in SQL, Python (Pandas, NumPy), R, Power BI, Tableau, and Google Data Studio. Built predictive and diagnostic models, streamlined pipelines (reducing refresh times from 2.5 hours to 28 minutes), and influenced strategic decisions across multiple client portfolios. Professional Experience

Trinity Technolabs – Data Analyst India Remote

Oct 2024 – Current

Consolidated 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. Next Education – Data Analyst / Technical Support Engineer India Aug 2022 – Sep 2023

Built 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.

Trinity Technolabs – Data Analyst India

May 2020 – Jul 2022

Designed 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.

Technical Skills

Data Analysis & Visualization: SQL, Python (Pandas, NumPy), R, Power BI, Tableau, Google Data Studio, Excel (PivotTables, Power Query, VBA) ETL & Data Processing: Apache Airflow, SSIS, Informatica, PySpark, Data Wrangling, Workflow Optimization

Cloud & Platforms: AWS (S3, Glue, Redshift), Snowflake, Databricks, BigQuery, Azure

(Synapse, Data Factory)

Statistical & Predictive Modeling: Hypothesis Testing, Forecasting, Regression, Clustering, Scikit-learn

Business Analysis: BRD/FRD Documentation, User Stories, UAT, Agile (Scrum), Process Mapping

Education

University of Hertfordshire Hatfield, UK

MSc Business Analytics and Consultancy GPA: 3.94/4.5 Sep 2023 – Oct 2024 University of Calicut Kerala, India

BBA (Finance) Jul 2017 – Apr 2020

Projects

Customer Sales Analysis SQL & Tableau Oct 2024

Queried 50K+ transactions to uncover revenue drivers and top-performing locations.

Constructed interactive Tableau dashboards highlighting key KPIs. Superstore Sales Dashboard Power BI Dec 2023

Implemented dashboards with 20+ DAX measures; automated refresh pipelines, reducing processing time by 40%.

Highlighted 3 high-value customer segments for targeted campaigns. Housing Price Prediction Python Nov 2024

Built linear regression model on 10K+ records; predicted property prices with high accuracy.

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