PCAP Certified Associate Python Programmer -
Python Institute
Wilmington, DE02-2025
Naveen Soundram
Dublin,CA
Summary
Aspiring Data Scientist with strong analytical and programming skills in Python, AI, and machine learning. Experienced in predictive modeling, data visualization, and AI-powered solutions. Passionate about leveraging technology to solve complex problems and drive innovation. Strong communication and teamwork skills with a results-driven approach to problem-solving.
Education
Professional Education - No Code AI and Machine Learning
Massachusetts Institute of Technology (MIT)
Boston, MA08-2024
Bachelor of Science - Biological Sciences
Arizona State University
Tempe, AZ01.2023
High School Diploma -
Dublin High School
Dublin, CA06.2019
Skills
- Python
- R
- Java
- XGBoost
- OpenAI GPT-4, Gemini, Co-pilot
- RapidMiner
- Dataiku
- KNIME
- Replit
- PyCharm
- R Studio
- Oracle VM VirtualBox
- Google Colab
- Matplotlib
- Seaborn
- Pandas
- NumPy
- Model Training
- Hyperparameter Tuning
- Data Preprocessing
- Git
- Visual Studio Code
- Google Sheets
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote
Judge a man by his questions rather than his answers.
Voltaire
Timeline
Data Science Intern
Sensigo
08.2024 - 10.2024
Project Contributor
02.2024 - 08.2024
Researcher
12.2021 - 03.2022
Bachelor of Science - Biological Sciences
Arizona State University
PCAP Certified Associate Python Programmer -
Python Institute
Professional Education - No Code AI and Machine Learning
Massachusetts Institute of Technology (MIT)
High School Diploma -
Dublin High School
Work History
Data Science Intern
Sensigo
San Carlos, CA
08.2024 - 10.2024
- Gained industry-specific experience by applying concepts directly to work. Improved proficiency in various software programs and expanded technical skills.
- Analyzed problems and collaborated with teams to develop solutions.
- Built predictive models to analyze repair locations, reducing false repair identification by 20%
- Developed an XGBoost-based model that improved error code classification accuracy by 18%
- Created a Cosine Similarity heatmap to visualize ECU repair location trends, enabling better diagnostics
- Implemented seasonal data analysis (2017-2024), identifying repair trends that increased predictive accuracy
- Identified, analyzed and interpreted trends in complex data sets using supervised and unsupervised learning techniques.
Project Contributor
Remote
02.2024 - 08.2024
- Developed an AI-based spam filtering model for an SMS company, improving email security
- Processed large email datasets to enhance classification accuracy, resulting in a 25% reduction in spam emails
- Built a predictive model for a hotel to classify bookings likely to be canceled, increasing revenue forecasting accuracy
- Applied feature engineering and model evaluation, leading to a 12% reduction in cancellation rates
Researcher
12.2021 - 03.2022
- Conducted a study analyzing ant behavior under external stress, documenting behaviors, validating hypotheses, and reporting findings
- Designed experiments to analyze human-directed communication and problem-solving ability in dogs
- Proposed research strategies based on observations
Extracurricular Activities Leadership
- Lead trumpet player in school bands (Marching, Jazz, Concert), skilled in flugel horn, baritone, and piano.
- Represented high school baseball team as a right fielder and relief pitcher (2016-2019).
- Competitively fenced and participated in university-level competitions.
- Background in martial arts, including taekwondo, boxing, and muay thai.
Overview
3
3
years of professional experience