<ul><li>Started building a foundation in <strong>Python programming</strong>, learning basic syntax, data types, loops, and functions essential for data analysis.</li></ul>

Python

<ul><li>Learned Excel for data analysis, including data cleaning, transformation, pivot tables, dashboards, and what-if analysis to identify trends and improve decision-making.</li><li>Gained hands-on experience with SQL for querying, data wrangling, joins, aggregations, and cohort analysis to extract insights from relational databases.</li><li>Built interactive Power BI dashboards with data modeling, DAX calculations, and KPI tracking, enabling visualization of key business metrics and data-driven insights.</li></ul>

Data Analyst

<ul><li>I have been an active member in sports and athletics during my school days.</li><li>Recruited as a mentor at TCS within 7 months of joining to guide and support new team members by providing process training, resolving queries, and ensuring smooth processing of cases with quality.&nbsp;</li></ul>

Bachelor of Pharmacy

Pharmaceutical Science

Intermediate (Class XII)

Biology

Matriculation (Class X)

Education

<ul><li>Managed and analyzed 50K+ records monthly in Salesforce and Excel, ensuring 98% data accuracy and driving insights for strategic decision making. </li><li>Optimized reporting and workflows, improvising efficiency by 20% and reducing issue resolution time by 15% through data driven solutions.</li><li>Collaborated with cross- functional teams to translate large datasets into actionable insights, supporting process and customer experience improvements.</li></ul>

Operations

Catalog Analyst

<ul><li>Processed and analyzed 1K+ global adverse events cases in Argus and Sapphire, ensuring 97% compliance with international safety and quality standards.</li><li>Conducted weekly quality audits on 100+ cases, improving accuracy and driving process efficiency, while mentoring 5+ new associates.</li><li>Leveraged tools such as Argus , Sapphire, and Excel to manage large-scale healthcare datasets and support data- driven decision-making.</li></ul>

Manufacturing

Pharma Data Analyst

Bharati Vidyapeeth Deemed University College Of Engineering,Pune, Pune

India

Pharma data analyst and ex-TCS professional transitioning into Data Science, driven by a strong interest in solving business problems through data. Skilled in Advanced Excel, SQL, and Power BI, with hands-on project experience in data analysis, visualization, and generating actionable insights. Currently upskilling to enhance technical capabilities while leveraging domain knowledge, curiosity, and an analytical mindset to contribute effectively to data-driven decision-making and real-world business challenges.

<ul><li>Built an interactive Power BI dashboard for e-commerce analytics, applying data cleaning, transformation, and visualization to track KPIs(revenue, customer growth, returns, regional sales).</li><li>Delivered data-driven insights on product performance, supply chain efficiency, and customer loyalty, enabling strategic decision- making.</li></ul>

Power BI: E- Commerce

<ul><li>Designed and implemented a relational schema with 11 tables and 30+ relationships, performed data cleaning on 10+ records using COALESCE and standardization to improve data quality by &nbsp;95%.</li><li>Conducted advanced SQL analysis, including Top- Ntrends(tracks, artists, genres), revenue by geography(50+ countries), and cohort/churn analysis on 1K+ customers, identifying retention drop of 18% YoY.</li><li>Delivered business insights by evaluating 3+ marketing campaigns, measuring customer lifetime value(CLV), and uncovering 20% higher purchase affinity among specific genre and artists groups.</li></ul>

SQL: Chinook Analysis

<ul><li>Analyzed 10K+ rows of historical call center data using advanced Excel (Pivot Tables, What-If Analysis, Dashboards) to uncover performance gaps and optimize operations.</li><li>Built interactive dashboards to track KPIs such as agent productivity, call volumes, and resolution rates, improving visibility and decision-making for stakeholders.</li><li>Delivered actionable insights that helped identify 15% efficiency gains and supported strategies to enhance customer satisfaction and service quality.</li></ul>

Aarushi ShuklaIndia

Social Accounts

Achievements

Projects

Power BI: E- Commerce

SQL: Chinook Analysis

Excel: Call Center Optimization

Experience

Catalog Analyst

Pharma Data Analyst

Education

Poona College of Pharmacy

Surmount International School

Surmount International School

Certificates

Python

Data Analyst

Skills