Chhandanee Pathak
@chhandaneepathak
Results-driven Data Analyst with expertise in machine learning and visualization.
What I'm looking for
I am a results-driven Data Analyst with a strong academic background in computer science, holding both a B.Tech and M.Tech. My expertise lies in statistical data analysis, machine learning, and data visualization, where I have successfully handled large datasets and built predictive models. I am passionate about transforming data into actionable insights and have developed impactful dashboards that facilitate decision-making.
During my recent internship at Trainity, I conducted in-depth data analysis using SQL and Excel, creating interactive dashboards with Tableau for visual storytelling. My experience also includes utilizing Python for data automation and predictive modeling, collaborating with cross-functional teams to optimize reporting processes. I have a proven track record of achieving high accuracy in my academic projects, such as developing a CNN-based model for pest damage identification with an impressive 99.8% accuracy.
Experience
Work history, roles, and key accomplishments
Data Analyst Intern
Trainity
Feb 2024 - Present (1 year 4 months)
Conducted in-depth data analysis using SQL and Excel to clean, manipulate, and extract insights from large datasets. Developed interactive dashboards using Tableau for visual storytelling and KPI tracking. Utilized Python for data automation, preprocessing, and predictive modeling.
Computer Science Teacher
Vivekananda Kendra Vidyalaya
Mar 2017 - Present (8 years 3 months)
Taught Python, SQL, Cloud Computing, and Networking to high school students, designing interactive lessons to enhance understanding of core technical concepts. Led practical training sessions in MS Office, database management, and programming. Focused on fostering strong foundational skills in computer science.
Education
Degrees, certifications, and relevant coursework
Assam Science and Technology University
Master of Technology, Computer Science
Completed advanced studies in Computer Science, focusing on theoretical and practical aspects of the field. Conducted research on CNN-based models for on-surface coconut pest damage identification, achieving 99.8% accuracy.
North-Eastern Hill University
Bachelor of Technology, Information Technology
Acquired foundational knowledge in Information Technology, covering software development, hardware systems, and network principles. Developed a strong understanding of programming, database management, and system analysis.
Availability
Location
Authorized to work in
Social media
Job categories
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