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Soujanya Krishnamurthy

Soujanya Krishnamurthy

Analyst

Rapidminds Ltd | Liverpool

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

Analytical conductor, harmonizing data symphonies for actionable insights.

My Work

Take a look at my latest work.

DataLab

Project: Analyzing and Formatting PostgreSQL Sales Data

DataLab

Project: Visualizing the History of Nobel Prize Winners

course

Introduction to SQL

DataLab

Project: Analyzing Crime in Los Angeles

course

Introduction to Python

DataLab

Project: Exploring NYC Public School Test Result Scores

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Rapidminds Ltd | Apr 2025 - Present

Analyst

• Conduct exploratory data analysis (EDA) using Python on solar plant data to identify trends, patterns, and anomalies, providing actionable insights to stakeholders • Design and maintain data pipelines by extracting and processing data from APIs using Python, storing and transforming data in CSV and Parquet file formats for analysis and reporting • Prepare, clean, and structure data for model development, ensuring data quality for predictive modeling and machine learning applications • Implement predictive modeling and forecasting models for energy optimization and anomaly detection using data science techniques such as Linear Regression and SVM • Develop and maintain interactive dashboards and visualizations to effectively present data insights, supporting decision-making processes
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Morrison Energy Services | Jan 2023 - Dec 2024

Data Analyst

• Compile and maintain Management Information (MI) reports using Salesforce Objects and MS Excel, ensuring accurate and timely updates on a daily, weekly, or monthly basis • Develop and maintain interactive dashboards and visualizations to present data insights clearly, supporting data-driven decision-making for stakeholders. • Design and maintain data pipelines by extracting, cleaning, and transforming large datasets (over 2M rows) using SQL Server, Power Query, and Power BI DAX, ensuring data accuracy and integrity • Lead key projects converting manual reports to automated live dashboards, utilizing data extraction techniques (Salesforce objects, SQL JOINS), data manipulation (Power Query, DAX), and visualization (Power BI) • Developed a Smart Installs dashboard by connecting SQL Server with Power BI, leveraging SQL queries and DAX to manipulate and visualize key metrics • Conducted Root Cause Analysis of customer complaints through sentiment analysis and data exploration in Python, applying tools like Fish Bone diagrams, which resulted in a 30% reduction in customer complaints • Partner with stakeholders to identify inefficiencies and data discrepancies, recommending corrective actions to improve data quality and reporting accuracy • Build and enhance MI reporting capabilities, analyze historical data issues, and generate data summaries to inform key business decisions • Provide technical support, training, and guidance to business users, ensuring effective utilization of data tools and processes.

IDP Education | Dec 2019 - Aug 2021

Student Admissions Officer

• Successfully managed the admission process for 400+ students interested in pursuing higher studies in the UK and Australia • Identified data to support the implementation of a bespoke CRM system • Utilised MS Excel and Power BI to analyse student registration data, plan marketing strategies, and increase branch leads • Consistently achieved 100% (1M $) confirmed sales, 150% new leads and 200% referrals targets • Assisted the marketing team in promoting IDP through workshops, presentations, and information booths

My Education

Take a look at my formal education

Msc Business Analytics and Big Data in Business Analytics and Big DataUniversity of Liverpool | 2022

About Me

Soujanya Krishnamurthy

Detail-oriented Data Analyst with a Master’s degree in Business Analytics and Big Data, and hands-on experience in data analysis, exploratory data analysis (EDA), reporting, and machine learning.

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