h
himanshuvish577

Himanshu V

@himanshuvish577

Data Analyst

Índia
Inglês, Hindi
Algumas informações são exibidas no idioma inglês.
Sobre mim
I am a Data Analyst and Data Engineering professional with 2+ years of experience in data analytics, ETL workflows, data transformation, and reporting automation. I have strong hands-on expertise in Databricks, PySpark, Python, SQL, Delta Lake, and ETL/ELT pipelines. I have experience transforming and processing raw data, building scalable data pipelines, performing data quality and validation, and developing automated reporting solutions. I focus on building reliable and efficient data workflows that deliver clean, structured, and analysis-ready data for business decision-making. ... Saiba mais

Habilidades

h
himanshuvish577
Himanshu V
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Consultoria em Engenharia de Dados
I will clean data using python pandas sql databricks
A partir deUS$ 10 /projetoMais detalhes
BI Analytics
I will create professional mis reports, and power bi reporting
A partir deUS$ 5 /projetoMais detalhes

Experiência profissional

eClerx

Data Analyst

eClerx • Período integral

Aug 2024 - Jan 2026 • 1 yr 5 mos

Built and automated Python-based ETL pipelines using Pandas and SQL, reducing manual reporting workload by 40%. Developed and maintained Power BI dashboards used by senior leadership, improving decision-making efficiency by 35%. Cleaned and transformed datasets exceeding 1M rows to improve reporting accuracy. Collaborated with Operations and MIS teams to convert business needs into automated workflows and integrated SQL Server with SSIS.

CHANDIGARH_UNIVERSITY

Digital Marketing & Data Analytics Intern

CHANDIGARH UNIVERSITY

Jul 2023 - Jan 2024 • 6 mos

Analyzed marketing campaigns using Excel, Google Analytics, and Python to identify performance trends and improve ROI. Created automated dashboards and weekly campaign summaries that supported strategic decision-making. Conducted segmentation and engagement analysis to improve targeting and campaign effectiveness for the university's marketing initiatives.