Z
VISHNU PRIYA M
FRESHER
PROFFESSIONAL
SKILLS
-Python
-Pandas
-Matplotlib
-Open CV
-JavaScript
-jQuery
-HTML & CSS
-MS Office Tools
-Jupyter Notebook
-SQL
PERSONAL SKILLS
-Self learner
-Fast Learner
-Story telling skills
-Time Management
-Presentation Skills
-Verbal and Written
Communication skills
CONTACT
Cell: 868-***-****
************@*****.***
4/25 2nd Street,
Seemathamman Nagar,
Maduravoyal,
Chennai – 600095,
Tamilnadu,
India.
PROFILE
A Self-motivated, Detailed-Oriented, Responsible student. Seeking for job opportunities where I can utilize my analytical, mathematical and technical skills to solve real life problems. Loves to beat personal bests and have ability to work under pressure and make decision with get it done.
EDUCATION
BSC. MATHEMATICS
Meenakshi College for Women, Chennai 2017 - 2021
73%
HSC
Jaigopal Garodia Govt. Girls Higher Secondary School 2016 – 2017 86.5%
SSLC
Jaigopal Garodia Govt. Girls Higher Secondary School 2015-2016 96.2%
PROJECTS
DATA ANALYSIS OF AGRICULTURAL PRODUCTION
In this analysis python is used to perform the preliminary analysis of the dataset on crop production using some inbuilt libraries, and then the analysis is done based on graphs plotted using seaborn, matplotlib, pandas and NumPy.
LANE DETECTION USING PYTHON AND OPENCV
It is project for Self-driving cars. It is used to detect Lanes for Self- driving Cars by Canny edge Detection.
STATISTICAL ANALYSIS USING HYPOTHESIS
Statistical Analysis on efficiency of school and College students bag weight before and after reducing the useless things using hypothesis test, standard deviation and some other statistical techniques.
ACHIEVEMENTS AND COURSES
• IBM professional data science certification.
• Completed course on Statistical methods for Six Sigma Green Belt.
• Secured Ulla’s young Achiever’s award on “Can Do It” Workshop.
• Completed “Junior grade typewriting” in English.
• Member of Nature Club and NSS.
INTERNSHIP
April 2019 – May 2019
SCHNEIDER ELECTRICS, CHENNAI
As a summer intern I helped with auto classification of ground staff workers using python, pandas, matplotlib and Excel. This work improved loss of work due to lack of workers. Worked closely with the HR team to help business to decide in dynamic substitution of workers.