Jenifer Seciliya

Data Scientist with 3+ years of experience in statistical modeling, machine learning, and data analysis, specializing in Python and SQL. Proven ability to develop and implement predictive models, conduct large-scale data analysis, and collaborate with cross-functional teams. Passionate about leveraging data to solve business problems, including recent work analyzing social media's impact on mental health.

• Deep Learning Certificate – Coursera
• Data Science and Machine Learning in Python Certificate – Besant Technologies
• Recognition for Excellence in Python and Machine Learning – SXCCE
• 2nd Prize in AI Tech Poster Presentation – SXCCE
• 1st Prize in District-Level Science Exhibition – All Saints School

Social Media and Mental Health Analysis (Oct 2024 – Feb 2025) USA Accidents Prediction (May 2023 – July 2023) Layoffs Detection (May 2023 – July 2023) Predicting House Prices (Aug 2019 – Oct 2019) Brain Tumor Detection (Sept 2017 – Feb 2018)

• Conducted Exploratory Data Analysis (EDA) and predictive modeling on social media usage and mental health data.
• Utilized Python (Pandas, NumPy, scikit-learn) and SQL for data processing and model development.
• Developed predictive models to assess the impact of social media on mental well-being.
• Built a linear regression model in Python (scikit-learn) for accident prediction.
• Used SQL for data preparation and preprocessing.
• Performed real-time detection and analysis of layoffs using R.
• Developed a linear regression model to predict house prices based on various features.
• Utilized k-means clustering to identify brain tumors from medical imaging data.