Pankaj
Mahtolia
adnie4@r.postjobfree.com +91-706*******
Dehradun, India pankajMahtoila
pankajMahtolia
Summary
Have a knack for problem-solving and computer science in general. Ambitious and hard-working team player with a sheer curiosity in computer science and related
technologies. Ability to understand requirements and translate them into technical expectations. Seeking an opportunity for a fresher's role to utilize my skills for the growth of the organization.
Work Experience
Trainee - Research Associate,
Ingenious e-brain Solution
01/2021 – 06/2021 Gurugram, India
Worked as a professional in the field of IPR(Intellectual Property Rights).
Delivered and worked on various end-to-end client
projects in scientific literature research & analytics across various Fortune 500 organizations working on different service lines like high tech, electronics, software, security, and more.
Achievements
Lucideus Certified Cyber Security Professional
- (Credential ID: LCSP/18002),
Lucideus Technology Private Ltd.
Passed the practical examination at Lucideus Labs in which I have to capture multiple flags(checkpoints) for which I have to hack\penetrate in those 5 different machines connected on the same network.
Masai Hack-overflow, December 2020
Rank in Top-25 amongst 2000+ participants in the
Masai Hack-overflow, an open coding challenge
organized by Masai School at HackerEarth.
HackerRank, Certification of
problem-solving(Intermediate and basic) and
5-star in problem-solving.
HackerEarth,
Peak-rating - 1511 in competitive coding
CodeChef, Currently, I am a 3-star coder in
competitive coding with a peak rating of 1621.
Codeforces,
Peak-rating - 1368 in competitive coding
Skills
Technical Skills (Problem-solving, Data Structures, Algorithms, Competitive Coding, Code Optimization, Debugging, Analytical)
Machine Learning (Regression, Classification, and
Clustering Algorithms, scikit-learn, TensorFlow, CNN) Languages (C++, C, Python3, Java, javascript, Fortran, HTML, CSS)
Cyber Security (Metasploit, Nmap, Reverse
Engineering, OWASP TOP 10)
Libraries and frameworks (Tensorflow, Keras,
NumPy, pandas, scikit-learn, jQuery, bootstrap)
Projects
Movie Recommender System
Frameworks - scikit-learn, pandas, numpy
Built a content-based movie recommender system
on Jupyter Notebook that reads content from the
overview of movies and generates the TF-IDF matrix and finds the similarity of each movie with other
movies and displays the top 10 similar movies to the user.
Stone Paper Scissor
Frameworks - Tensorflow, Keras, numpy
Built a convolutional neural network(CNN) model for the multiclass classification.
It classifies the image whether it is a Stone, Paper, or a Scissor with a validation accuracy of approx 95%.
Academic Details
B.Tech.,
National Institute of Technology, Uttarakhand
08/2017 – 06/2021 Srinagar(Garhwal)
CGPA 7.74/10
Activities and societies: Volunteered in media and publicity team for college fest Clifesto(2k18) Teaching Assistant in the college Programming Club (Kodesk) Competitive Programming Enthusiast.
Intermediate/+2,
Shri Guru Ram Rai Public School, Patel Nagar
04/2015 – 05/2016 Dehradun, India
84.2%
Training and Certification
Machine Learning, CETPA Infotech
05/2019 – 07/2019 Dehradun, India
Completed 6 weeks of machine learning and deep
learning course at CETPA.
Cyber Security,
Lucideus Technology Private Ltd.
06/2018 – 07/2018 New Delhi, India
Completed 2 months of cyber-security course at
Lucideus.