Chandini G
Hyderabad
Summary
Results-driven Junior Data Scientist at R-software solutions with expertise in machine learning and data visualization. Proven ability to translate complex datasets into actionable insights, enhancing strategic decision-making. Skilled in Python programming and fostering collaborative environments, I excel in developing predictive models that drive impactful outcomes.
Overview
8
8
years of professional experience
5
5
years of post-secondary education
1
1
Certification
Work History
Junior Data Scientist
R-software solutions
Hyderabad
09.2023 - Current
- Developed and deployed 5+ machine learning models (classification, regression, clustering) using Python, Scikit-learn, and TensorFlow, achieving up to 83% accuracy on predictive analytics tasks.
- Cleaned, preprocessed, and analyzed 100K+ records, applying statistical techniques and feature engineering to ensure data quality and translate raw data into actionable business insights.
Home maker
Carrer gap
09.2021 - 08.2023
- Career Gap(Maternity Leave)
Managed maternity responsibilities; utilized time to upskill through online courses, personal projects, and domain knowledge enrichment.
Assistant Professor
Teja college of pharmacy
Kodad
02.2018 - 07.2021
- Educated B-Pharm students in diverse areas such as pharmaceutics, pharmaceutical technology, advanced drug delivery systems, and formulation of dosage forms
Education
Master of Science - M-pharmacy
Vathsalya College of Pharmacy
Hyderabad 07.2010 - 12.2012
Bachelor of Science - B-pharmacy
Karigowda College of Pharmacy
Banglore 08.2007 - 08.2010
Skills
Programming & Databases: Python (NumPy, Pandas, Scikit-learn), SQL, Excel
Machine Learning: Regression, Classification, Ensemble Methods (Random Forest, XGBoost), Clustering, Feature Engineering, Model Evaluation & Tuning
Data Visualization & BI: Matplotlib, Seaborn, Power BI, Streamlit
Tools and environment : Jupyter Notebook, Google Colab, VS Code
Domain Knowledge: Pharmaceutical Research & Healthcare Analytics
Certification
- Data science certification
- Excel basic to advance ceritification
- Python basic to advance certification
Projects
Customer churn prediction (Telecom/Retail)
- Built ML models (Logistic Regression, Random Forest, XGBoost) on 10K+ customer records to predict churn.
- Achieved 85%accuracy (F1=0.82) and deployed a Streamlit app for real-time risk scoring.
Drug side effect prediction (Pharma/Healthcare)
- Leveraged clinical trial & patient datasets to predict adverse drug reactions using Random Forest & XGBoost.
- Achieved 80% accuracy,providing insights for patient safety and clinical decision-making.
Timeline
Junior Data Scientist
R-software solutions
09.2023 - Current
Home maker
Carrer gap
09.2021 - 08.2023
Assistant Professor
Teja college of pharmacy
02.2018 - 07.2021
Master of Science - M-pharmacy
Vathsalya College of Pharmacy
07.2010 - 12.2012
Bachelor of Science - B-pharmacy
Karigowda College of Pharmacy
08.2007 - 08.2010
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