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Prakhar SaxenaPS
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Prakhar Saxena

@prakharsaxena

Data analyst skilled in Python, R, SQL, and visualization to deliver actionable business insights.

India
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What I'm looking for

I seek a data-focused role where I can apply Python/R/SQL and visualization to solve real problems, grow technical expertise, and contribute to data-driven decisions.

I'm a Data Analyst who enjoys turning raw, messy data into insights that help businesses make better decisions. I leverage SQL, Python, Power BI, Tableau, and Excel to build scalable analytics solutions, automate reporting, and create dashboards that transform complex datasets into actionable business intelligence. My goal is to help organizations make faster, data-driven decisions that create measurable impact.

My journey began with a strong foundation in Computer Science and has evolved through hands-on experience solving real business problems with data. As the Co-Founder and Data Analyst at FresherGo, I built analytics workflows for a recruitment platform serving 10,000+ active users, integrating 7+ job data sources using Python, SQL, PostgreSQL, REST APIs, and web scraping. I designed ETL pipelines to clean, deduplicate, and categorize over 1,700 job listings, ensuring high-quality, analysis-ready datasets. I also analyzed user engagement across key metrics such as registrations, platform activity, and application behavior, helping drive product and recruitment decisions.

Beyond industry experience, I have developed end-to-end analytics projects that strengthened my technical expertise. I built a Python-based analytics platform with FastAPI and PostgreSQL that reduced manual reporting effort by 90%, engineered interactive KPI dashboards, and implemented scalable data pipelines that improved data accuracy by 95%. In another project, I analyzed 25,000+ sales records using SQL and Power BI, created dynamic dashboards, and uncovered a 14% regional sales decline, enabling data-backed business recommendations. My toolkit includes SQL, Python, PostgreSQL, Power BI, Tableau, Excel, ETL, data modeling, dashboard development, statistical analysis, exploratory data analysis, business intelligence, and data visualization. I am also an SAP Certified Data Analyst and hold Oracle Cloud Infrastructure Data Science certifications. Currently, I am further strengthening my expertise through CDAC Hyderabad's Big Data Analytics program, expanding my skills in modern data engineering and analytics technologies.

I'm always excited to connect with professionals, recruiters, and teams passionate about using data to solve business challenges. If you're looking for a Data Analyst who combines technical expertise with a business-first mindset, I'd love to connect and explore opportunities.

Experience

Work history, roles, and key accomplishments

DE

Data Analytics Intern

Deloitte

Jun 2024 - Jul 2024 (1 month)

Analyzed large-scale client telemetry to uncover performance patterns and KPIs and built interactive Tableau dashboards to support data-driven decisions; cleaned and validated datasets using Python and Excel to aid network performance investigations.

Education

Degrees, certifications, and relevant coursework

Lovely Professional University logoLU

Lovely Professional University

Bachelor of Technology, Computer Science and Engineering

2022 -

Pursuing Bachelor of Technology in Computer Science and Engineering at Lovely Professional University since August 2022.

C-DAC Hyderabad logoCH

C-DAC Hyderabad

Post Graduate Diploma in Big Data Analytics (PG-DBDA), Big Data Analytics

2026 -

Activities and societies: Big Data Analytics | Python | SQL | Apache Spark | Hadoop | Hive | ETL | Data Warehousing | Power BI | Tableau | Machine Learning | Hands-on Labs | Industry Projects

Currently pursuing a Post Graduate Diploma in Big Data Analytics (PG-DBDA) at C-DAC Hyderabad. Developing practical expertise in SQL, Python, Apache Spark, Hadoop, Hive, ETL, Data Warehousing, Power BI, Tableau, and Machine Learning through hands-on labs and industry-oriented projects, with a focus on data engineering and analytics.

Tech stack

Software and tools used professionally

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