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Data Analyst with 1+ years in Python, SQL, and Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer with 1.5 years of experience in enterprise application development, now specializing in Python, SQL, and data-driven solutions. Skilled in performance optimization, automation, and machine learning workflows, with hands-on experience in data analysis and visualization using Power BI, Pandas, and SQL. Seeking to transition into data-focused roles, leveraging cross-domain engineering experience and formal data science training to deliver scalable, insight-driven solutions that generate measurable business value.
GUVI GEEK NETWORK PRIVATE LIMITED
Master Data Science · Advanced Professional Programming and Master Data Science
June 1, 2024 – November 1, 2024
St. Joseph's College of Engineering
B.E. · Computer Science Engineering
August 1, 2020 – June 30, 2024
Syncfusion
Software Engineer
January 1, 2025 – Present
Chennai, Tamil Nadu, India
Car Dekho Used Car Price Prediction
June 21, 2026 – Present
Built a Car Price Prediction Model using Car Dekho's dataset with algorithms like Linear Regression, Random Forest, and XGBoost, optimizing the latter through hyperparameter tuning to achieve an accuracy of 95%. Cleaned and prepared JSON data from six cities by conducting Exploratory Data Analysis (EDA) and correlation analysis, before deploying the final XGBoost model via Streamlit as a .pkl file.
View ProjectDominos - Predictive Purchase Order System
June 21, 2026 – Present
Designed a sales forecasting model for Domino's using SARIMA, ARIMA, and Prophet, achieving a Mean Absolute Percentage Error (MAPE) of 0.2. Analyzed historical sales and ingredient data to predict ingredient requirements, reducing wastage and maintaining optimal stock levels. Improved ingredient management and purchase orders by accurately forecasting future demand, supporting effective inventory and supply chain processes.
Cultural Fit Analysis
The candidate shows a strong interest in transitioning from a software engineering role to a data-focused role, which aligns with a growth mindset. The projects demonstrate initiative and a practical application of data science skills. The blend of software engineering experience with data science training suggests adaptability and a broad technical perspective. However, the current professional experience is not directly in a data analyst role, which might require some adjustment.
Soft Skills & Operational Fit
The candidate's professional experience at Syncfusion highlights strong problem-solving, optimization, and automation skills, which are valuable for an operational role. The project descriptions indicate an ability to work independently on data analysis and machine learning tasks. However, direct evidence of team collaboration or stress handling from the provided data is insufficient.