Divya Sharma
Data Analyst
An adaptable person with good analytical and communication skills who is interested in field of Data Analytics and to make a sound position in corporate world and work enthusiastically in team to achieve goal of the organisation with devotion and hard work ***********@*****.***
jaipur
linkedin.com/in/divya-
sharma-992712178
SKILLS
Technical skills
Data Mining, Data Analysis,
Web Scraping, Web
Crawling, Working with
Watson
Operating Systems
• Windows, linux
Communication
(Public Speaking)
LANGUAGES
EDUCATION
B.Tech Computer Science Engineering
Jk Lakshmipat University
07/2016 – 07/2020
12 th Grade
Tilak Senior Secondary School (RBSE)
02/2015 – 02/2016
10 th Grade
D.A.V Public School
02/2013 – 02/2014
INTERNSHIPS
Research and Technical Intern
Nobel Institute of Training
05/2018 – 08/2018
Tasks
8.568/10.0 (Upto 6th semester)
73%
8.9/10.0
Kota
Python, Machine Learning,
NLP, Web Scraping.
(Professional work
proficiency)
JAVA, C,C++
(Limited proficency)
Researched and found problem peoples was facing in that city Created website for the students who migrate to kota and face problem in searching the hostels near by their coaching institutes .In which they get whole information about the hostels with the facility they get near by that
Contact: Mr. Mahaveer Kushwaha
COURSES AND
ACHIEVEMENT
Data Mining
Rajasthan University (Dbt-bif lab)
06/2019 – 07/2019 Jaipur
Best paper award in
International
Conference
Data Analysis(You
tube)
Python (IBM Badge)
Creating your own
chatbot using
Watson (IBM
Badge)
Machine
Learning(You Tube)
Government funded lab for working on live data.
Tasks
Analysis of the pattern followed by the electronic reports in labs Program and designing of regex which fits best in extraction of particular data for analysis Remove unwanted text from collected data as data extraction is first footstep of predicting any model
Contact: Rakesh Saraswat
Projects
Spam detection of YouTube comments Aug’19
• Collected comments in an excel sheet than analysed characteristics of comments in terms of positive and negative responses.
Data Extraction from Electronic Reports July’19
• Data Extraction key step to extract information from dark data
• Extracted information useful for making prediction from the electronic reports using Regex methodology
• Analysed and Removed unwanted text which will further affect the accuracy of model
Virtual Assistant using Watson Jan’19
• Created a chatbot for University which can deal with the usual queries raised by any visitor, students, faculties etc.
• Queries be like information about events, information about clubs, faculties details, recent events, recent achievements, way to library, way to IET block, way to IM block and many more.
Automated Dam Nov’18
• Increase in water level make alert in three terms as according to the level of risk .
• Worked on idea to automate dam, it provide signal to the assistant and people living nearby according to the category of level as high medium and low .At high category it will automatically get open . At medium we are providing alert that after days dam will going to open so farmers if want to give water or have to protect crops can take decisions accordingly.
Analysed data of employees Jan’18
• Worked on dataset of employees by assuming their information like salary, department, working days,working hours, leave capacity as features then analysed and applied machine learning algorithm to find reason of their resign