Data Analyst with less than a year in Clinical Data Management & Machine Learning
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Assessing your cultural and operational fit
Statistical Programmer with around 1 year of professional experience at IQVIA, specializing in clinical trial data management, statistical programming, and data analysis. Hands-on experience in SAS programming, SDTM and ADaM validation, TLF support, and quality control processes aligned with CDISC standards. Proficient in Base SAS and Advanced SAS, with additional knowledge of R, Python, SQL, and Excel. Skilled in analyzing complex clinical datasets, ensuring data accuracy, and delivering high-quality, analysis-ready outputs to support clinical research and data-driven decision-making.
MSc-Master of Science in Applied Statistics and Data Analytics
Master of Science · Applied Statistics and Data Analytics
August 1, 2021 – June 30, 2023
BSc-Bachelor of Science in Statistics
Bachelor of Science · Statistics
August 1, 2017 – June 30, 2020
GHSS Keezharoor
Plus Two · Biology Science
June 1, 2015 – May 31, 2017
IQVIA
Associate Biostatistician
May 1, 2025 – March 1, 2026
Cochin, Kerala, India
Data Valley.ai
Data Science / ML Project Associate (Freelance)
September 1, 2024 – March 1, 2025
Hyderābād, Telangana, India
CuMinds Innovations
Data Science Intern
September 1, 2024 – January 1, 2025
Coimbatore, Tamil Nadu, India
ICT Academy of Kerala
Machine Learning Intern
April 1, 2023 – May 1, 2023
Thiruvananthapuram, Kerala, India
DermaCare Chatbot Doctor
June 1, 2026 – Present
Model Integration: Used Groq API with pre-trained LLMs for accurate, responsive healthcare advice. Frontend: Developed an interactive UI with Gradio for seamless user interactions. Conversational AI: Leveraged Groq's LLMs with tailored prompts for empathetic, human-like responses. Audio Output: Integrated gTTS for converting text responses to speech, improving user experience. Deployment: Hosted on Hugging Face Spaces for broad accessibility.
View ProjectClearSpeak AI - Verbal Communication Skills Trainer
June 1, 2026 – Present
Model Integration: Integrated Groq API for AI-based feedback on verbal communication skills, focusing on tone and clarity. Frontend: Developed using Flask with interactive interfaces for text and voice-based training modes. Speech Processing: Utilized gTTS and VoiceRSS API for converting AI-generated responses to speech, enhancing interaction. Training Modules: Includes Impromptu Speaking, Storytelling, and Conflict Resolution, providing AI-driven feedback. Assessments: Users can submit text or voice-based presentations for AI evaluation and feedback. Progress Tracking: User responses and feedback are tracked in a SQLite database for ongoing improvement.
View ProjectFlipkart Review Sentiment Analysis
June 1, 2026 – Present
Performed text preprocessing using NLTK, re, and WordCloud for visualizations. Data Cleaning: Cleaned text by removing stopwords, special characters, and applied stemming. Applied Naïve Bayes classification for sentiment analysis, categorizing reviews as positive, negative, or neutral. Final Result: Most reviews were neutral (1283), with positive (924) and negative (97) reviews being fewer. Suggested Future Findings: Future work could explore Deep Learning models like LSTM and VADER for more accurate sentiment detection.
View ProjectSAS Programminng
Unknown
June 1, 2026 – Present
Data Science Orientation
Unknown
June 1, 2026 – Present
Tools for Data Science
Unknown
June 1, 2026 – Present
Data Science/ML Bootcamp
Brototype
January 1, 2024 – Present
Tracking the Pulse of GeoHub LA: Insights from Web Traffic Data
Old Students Forum, Department of Statistics, Cochin University of Science and Technology
April 29, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from clinical data analysis to AI chatbots and sentiment analysis, indicates adaptability and a broad interest in data science applications. The academic background in statistics combined with practical ML experience aligns well with roles requiring both theoretical rigor and hands-on implementation. The freelance and internship experiences suggest a proactive approach to gaining varied exposure. The target role of 'Data Analyst' aligns with the candidate's core skills in statistical analysis, data cleaning, and reporting, though their ML/AI experience also positions them for more advanced data science roles.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach through personal projects and internships, indicating a strong work ethic and willingness to learn. The project descriptions suggest an ability to work independently and apply theoretical knowledge to practical scenarios. However, the resume does not provide explicit details on collaboration, conflict resolution, or leadership in team settings, which are crucial for senior roles. The 'conflict-resolution' skill is listed under a freelance role, but no context is provided.