Description
ACKSHEY SADHASIVAM
Coimbatore, Tamil Nadu, India | | Resume ID: 82202604
LinkedIn: https://www.linkedin.com/in/acksheysadhasivam/
SUMMARY
Data Analyst skilled in SQL, Power BI, and Python for data transformation and visualization. Experienced in building dashboards and automating workflows to drive insights.
EDUCATION
Nottingham Trent University — Master of Science in Management and Business Analytics
Nottingham, UK | September 2021 – December 2022 | GPA: 2:1
Sri Ramakrishna Engineering College — Bachelor of Engineering (Electronics and Communication)
Coimbatore, India | August 2015 – June 2019 | CGPA: 6.25
EXPERIENCE
ELGI Equipment’s — Data Analyst Intern
Coimbatore, India | August 2024 – September 2024
· Developed a Power BI dashboard that improved data visibility, streamlining KPI tracking and reducing manual effort by 30%.
· Helped sales teams identify high-potential leads by integrating and visualizing multi-source data.
· Streamlined KPI tracking, ensuring timely access to key performance insights.
· Improved data models to support data-driven decision-making and operational efficiency.
PMCGS Pvt Ltd — Data Analyst
India (Remote – UK Project) | June 2023 – May 2024
Processed and cleaned ~100 data entries per day, reducing inconsistencies by 20%.
Conducted exploratory data analysis (EDA) using Python (Pandas, NumPy) to extract insights.
Automated data extraction and processing pipelines, saving 10+ hours per week.
Identified demand forecasting inaccuracies, reducing inventory holding costs by 15%.
SKILLS
Python | SQL | Power BI | Azure | Data Pre-processing | Data Modeling | ETL | Exploratory Data Analysis | Microsoft Excel | Communication | Problem-solving | Critical Thinking |
PROJECTS
HR Analytics Dashboard – Power BI
· Developed an interactive Power BI dashboard to track key HR metrics such as employee attrition, performance, and hiring trends.
· Improved workforce planning by providing real-time insights into employee trends and resource allocation.
· Created dynamic reports and visualizations to uncover patterns in hiring, turnover rates, and employee engagement.
· Leveraged SQL queries for data extraction and applied DAX measures to improve HR decision-making.
Azure: E-commerce Data Pipeline & Analytics
· Built a basic ETL pipeline using Azure Data Factory to extract, transform, and load structured data.
· Utilized Azure Storage for managing raw and processed data efficiently.
· Processed data with Azure Databricks to enable basic analytics and insights.
CERTIFICATIONS
PwC Power BI Job Simulation Virtual Internship — February 2024
Data Analytics using Power BI Workshop with End-to-End Project — January 2024
Sustainability in Business – Level 7, Nottingham Trent University — June 2022
CMI Level 7 Diploma in Strategic Management and Leadership Practice — February 2023