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Pola V.

AI and Data Science , Information Technology , Operations

call   (214) GO-RELAY / (214) 467-3529

email   Careers@RelayHumanCloud.com

home   Ahmedabad, India


SKILLS

  • Advanced Excel
  • Python
  • Power BI
  • MongoDB
  • Tableau
  • Analytical Thinking
  • Problem-Solving

EDUCATION

Bachelor of Technology

Sir Padampat Singhania University (2021)

LICENSES & CERTIFICATIONS

  • Cloud Computing Basics | Udemy 
  • Python Course | Coursera

Extraverted Introverted Intuitive Observant Thinking Feeling Judging Prospecting

PROFESSIONAL SUMMARY

Results-oriented Junior Software Developer with strong exposure to Python, machine learning, data analytics, and dashboard development. Skilled in building predictive models, handling end-to-end data preprocessing, and applying statistical techniques to generate actionable insights. Demonstrated experience in classification algorithms, feature selection, and interactive dashboard creation using Excel, Power BI, and Tableau. Adept at transforming raw data into meaningful visualizations and supporting data-driven decision-making within fast-paced environments.

PROFESSIONAL EXPERIENCE

Developer

Infividhya | India | May 2025 – Jul 2025 

  • Developed a machine learning model to predict Autism Spectrum Disorder in children using behavioral and screening test datasets, improving early-diagnosis support.
  • Executed data preprocessing and feature selection processes, enhancing the accuracy and efficiency of the prediction pipeline.
  • Implemented classification algorithms including Random Forest, SVM, and Logistic Regression to identify impactful predictive patterns.
  • Improved model performance by optimizing training workflows and evaluating results through statistical validation techniques.

Projects

Dashboard Creation – E-commerce Insights

Excel | Nov 2024 – Dec 2024 

  • Built a real-time E-commerce Insights Dashboard using live open-source datasets, enabling visualization of sales trends, consumer behavior, and product performance.
  • Utilized dynamic dashboards, pivot tables, and pivot charts for interactive filtering and effective data storytelling.

Fuel Sales Analytics – Descriptive Statistical Analysis

Sep 2024 – Oct 2024 

  • Analyzed fuel consumption patterns for Power and Normal gasoline using descriptive statistical methods to identify demand variations and usage trends.