Data Analyst with 1+ years in Python, SQL, Power BI, and Geospatial Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-oriented Data Analyst with 8+ months of professional experience in multi-source data collation, pipeline automation, KPI reporting, and dashboard development. Proficient in Python (Pandas, NumPy, Scikit-learn), SQL, Power BI, Tableau, Excel, R, MATLAB, and SPSS. Experienced in transforming raw, heterogeneous data into structured analytical outputs for corporate decision-making. Built Python-automated geospatial data pipelines at ISRO handling large-scale multimodal datasets. Strong quantitative foundation from dual MSc degrees in Mathematics and Agriculture Analytics. Available immediately across all locations.
Dhirubhai Ambani University (DA-IICT)
M.Sc. · Agriculture Analytics
August 1, 2022 – June 30, 2024
University of Rajasthan
M.Sc. · Mathematics
August 1, 2018 – June 30, 2020
University of Rajasthan
B.Sc. · Mathematics
August 1, 2013 – June 30, 2016
Creduce Technologies Pvt. Ltd.
Data Analyst & GHG Research Modeller
September 1, 2024 – Present
Ahmedabad, Gujarat, India
Space Application Centre, ISRO
Research Data Analyst - Geospatial & ML Pipelines
January 1, 2024 – May 1, 2024
Ahmedabad, Gujarat, India
AICTE - MathWorks (Simulink)
Virtual Data Analytics Intern
May 1, 2023 – September 1, 2023
India
AI & ML
AICTE / MathWorks
June 1, 2026 – Present
ArcGIS Pro Essential Workflow
ESRI
June 1, 2026 – Present
Advanced Geospatial Technologies in Agriculture
Amnex
June 1, 2026 – Present
GIS for Climate Action
ESRI
June 1, 2026 – Present
Spatial Data Science
ESRI
June 1, 2026 – Present
Crop Yield Modeling
Satsure
June 1, 2026 – Present
Supply Chain Analytics
IIT Kharagpur
June 1, 2026 – Present
Power BI & Tableau
Analytics Vidhya
June 1, 2026 – Present
Oracle Cloud Data Management 2023
Oracle
January 1, 2023 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for roles requiring analytical rigor and problem-solving, especially within environmental, agricultural, or research-oriented sectors. The breadth of skills (Python, SQL, BI tools, ML, geospatial tools) and diverse project experience (ESG, GHG, LiDAR, biomass estimation) suggest an individual who is adaptable and capable of integrating into varied technical environments. The numerous certifications further indicate a proactive approach to learning and skill development, which is a positive cultural attribute. The academic background in Mathematics and Agriculture Analytics provides a unique blend of theoretical and applied knowledge, suitable for organizations valuing interdisciplinary approaches.
Soft Skills & Operational Fit
The candidate's resume highlights a results-oriented approach and experience in transforming raw, heterogeneous data into structured analytical outputs. The descriptions of automating processes and improving accuracy suggest attention to detail and efficiency. The diverse project experience, particularly in environmental and agricultural domains, indicates adaptability and a willingness to tackle complex, multi-source data challenges. However, without specific psychometric or English test results, a deeper assessment of communication, logical reasoning, stress handling, and team collaboration is not possible.