Data Analyst with less than a year in Machine Learning & Cloud
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Assessing your cultural and operational fit
Completed a one-month internship focused on applying machine learning techniques to solve real-world problems. Successfully delivered two projects: Sentiment Analysis on Twitter Data and California Housing Price Prediction. Possesses strong analytical, technical, and visualization skills, with proficiency in Python, SQL, Excel, Power BI, Tableau, and cloud platforms like AWS and Azure.
I.B. (PG) College, Kurukshetra University, Haryana
Bachelor of Computer Applications · Computer Applications
January 1, 2023 – January 1, 2026
D.A.V Police Public School, Panipat
Senior Secondary Education
March 1, 2021 – June 1, 2022
APEXSTYLE- Career Growth
Data Analyst Intern
September 1, 2024 – October 1, 2024
India
Sentiment Analysis on Twitter Data
September 1, 2024 – October 1, 2024
Built a sentiment analysis model to classify tweets as positive, negative, or neutral using Bag-of-Words, TF-IDF, and LSTM. Streamlined Twitter data preprocessing using Python, NLTK, and Matplotlib, to improve model training time by 12%, enabling more rapid iteration during the sentiment analysis project's development phase.
California Housing Price Prediction
September 1, 2024 – October 1, 2024
Developed machine learning models (Linear Regression, Decision Tree, Random Forest, SVR) to predict California housing prices. Performed hyperparameter tuning for improved accuracy and created an interactive Streamlit app. Applied Scikit-learn for model development, demonstrating predictive analytics in real estate.
DATA ANALYST- Croma Campus
Croma Campus
June 1, 2026 – Present
Technology Advancement Bootcamp- Medha
Medha
June 1, 2026 – Present
Deloitte Data Analytics Job Simulation- Forage
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong drive for learning and skill acquisition, evidenced by multiple certifications and a bootcamp. The projects demonstrate an interest in diverse data analysis applications (NLP, real estate prediction). This indicates a proactive and adaptable mindset, which can be a good cultural fit for dynamic environments. However, the limited professional experience makes it difficult to fully assess cultural alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on defined tasks and deliver specific outcomes (e.g., 'improved model training time by 12%'). The internship experience, though brief, shows initiative in applying learned skills to real-world problems. However, there is insufficient data to assess collaboration, stress handling, or broader operational fit.