About
Highly motivated and detail-oriented Statistics graduate with proven expertise in data analysis, data science, market research, and business intelligence. Proficient in R, Python, and Excel, with hands-on experience extracting actionable insights from complex datasets to drive strategic decision-making. Adept at conducting sentiment analysis, business analytics, and agrometeorological data processing. Experienced in collaborating with cross-functional teams, executing impactful campaigns, and leveraging data-driven solutions for organizational growth. Passionate about continuous learning, problem-solving, and utilizing advanced analytics to achieve significant business and research outcomes.
Work
Summary
Provided data analysis services to clients, translating complex datasets into actionable insights to support strategic decision-making and optimize performance.
Highlights
Led comprehensive data analysis to identify key market trends and customer behavior, informing strategic initiatives.
Developed and presented compelling reports and visualizations, enabling data-driven strategic decision-making for clients.
Partnered with marketing teams to define and track key performance indicators (KPIs), optimizing campaign performance and achieving client objectives.
National Root Crops Research Institute (NRCRI)
|Industrial Training Intern – Agrometeorological Department
Summary
Contributed to agricultural research by collecting, analyzing, and maintaining critical meteorological data to understand climate impacts on crop yield.
Highlights
Systematically collected, recorded, and maintained daily meteorological data, ensuring data integrity for critical research purposes.
Contributed to the analysis of complex weather patterns, assessing their direct impact on crop yield and informing agricultural planning strategies.
Provided essential support for field experiments, meticulously gathering climate-related insights and observations to enhance research outcomes.
Skills
Data Analysis
Market Research, Customer Behavior Analysis, Statistical Analysis, Data Visualization, KPI Definition, Predictive Modeling.
Data Science
Sentiment Analysis, Business Analytics, Agrometeorological Data Processing.
Programming Languages
R, Python.
Data Tools
Microsoft Excel, dplyr, tidyverse, tidytext, stringr, readr, rvest.
Problem-Solving
Critical Thinking.
Collaboration & Communication
Team Collaboration, Report Preparation, Presentation Skills.
Marketing & Business
Digital Marketing, Social Media Marketing, Strategic Decision-Making.