Résumé
I’m a Data Analyst with a Master’s in Data Analytics & AI from EDHEC Business School and a background in engineering. I have hands-on experience in data processing, exploratory analysis, statistical analysis, data quality management and workflow automation using tools like Python, SQL, Excel, PostgreSQL, and Azure. I also have practical knowledge of data science and machine learning models, including model development, evaluation, and deployment for real-world datasets. At Asset Impact, I worked on climate data projects building ETL pipelines, analyzing CO₂ emissions in the LDV sector, and performing QA/QC of ESG data across climate critical industries. Beyond sustainability, I'm passionate about applying data-driven insights across sectors to solve real-world problems and support better decision-making. I’m currently expanding my skills in modern AI workflows, including LLMs, RAG, and AI agent frameworks, to enhance automation, data insights and decision-making. You can explore my projects and code on my GitHub portfolio: https://github.com/Reshma-Rekha-12
Open to roles in data analytics, business intelligence, and AI across industries where data can make a difference.
Expériences professionnelles
Genai engineer
Blackbox Learning , Paris
Depuis le 01 mai 2026
Data analyst
ASSET IMPACT , Amsterdam
De Avril 2025 à Mai 2025
Led the optimization of ETL pipelines using Python, improving data processing efficiency by 30% for ESG data.
Managed dashboard development and KPI tracking using Power BI for climate and ESG data.
Managed QA by validating company-asset matching, ensuring 98% data accuracy using SQL and Python.
Collaborated with Product, Data Science, and IT teams to support the development of data-driven solutions.
Developed A/B testing framework for asset verification using Python and Perplexity, enhancing QA efficiency by 40%• Collaborated with Data, Product, and Business teams to enhance climate analytics offerings.
Data analyst
ASSET IMPACT , Amsterdam
De Juin 2024 à Décembre 2024
Conducted exploratory data analysis, built forecasting models in Python, and supported sustainable finance strategies.
Performed statistical analysis and EDA to support compliance processes and reporting accuracy using SQL and Excel
Researched physical data asset providers to support onboarding of data into the database, enhancing data coverage by 25%
System engineer
INFOSYS
De Avril 2021 à Décembre 2022
System engineer trainee
INFOSYS
De Novembre 2020 à Mars 2021
Parcours officiels
Langues
Anglais - Langue maternelle
Français - Notions
Compétences
Centres d'intérêt
- machine learning
- data science
- deep learning
- large language models
- natural language proocessing
- data analysis