Mridul Makhija completed his B.Tech in Information Technology in 2021. He has experience working as a Machine Learning Engineer and Data Analyst. His projects include developing a self-driving car simulator using Q-Learning and building recommendation and image recognition systems using machine learning algorithms like KNN and K-Means clustering. He is proficient in Python, C++, and data analysis tools. Mridul held leadership positions in Rotaract and Interact clubs where he organized numerous community service projects. His extracurricular interests include drama, volleyball, and cricket.

1. EDUCATION
M R I D U L M A K H I J A
Email: mridul.makhija17@gmail.com | Address: 9/16, Ashok Nagar, New Delhi-110063 |Phone: +91-9013369305
Degree Institute % / CGPA Year
B.Tech. Information & Technology Maharaja Institute of Technology, IP University 7.79/10 2017-21
CBSE (Class XII) Mira Model School, New Delhi 85.00/100 2017
CBSE (Class X) Mira Model School, New Delhi 8.6/10 2015
WORK EXPERIENCE
Machine Learning Engineer, Centre for Development of Advanced Computing, Noida Jan 2020 – Feb 2020
 CDAC is a government institution that works for All India Institute of Medical Sciences (AIIMS).
 Being in Data Design Team, I work on the AIIMS OPD data, labs data, blood bank data etc and predict the number of patients
visiting and number of units of requirement of blood so that the institution is ready with all the arrangements.
Data Analyst, Bharti Airtel Ltd., Gurugram June2019–Aug 2019
 Worked on KPI (‘4G STRIKE RATE’) and validated it.
 Using 3 sudo datasets related to 1-day bundle recharges of Delhi circle, the KPI was validated.
Campus Ambassador, Cosco India Ltd., New Delhi Aug 2018 – Sept 2019
 I was a part of sales and social development team. I promoted the brand and products over social media and sold them.
Intern, Ericsson India Ltd., Gurugram June2018– July 2018
 Worked on project a project titled "Industry 4.0 and Internet of Things.
 I developed a detailed understanding of latest development in technology, business-oriented approach to technology and
exploration on Mobile Network Technology.
 Programming Languages: C++(Proficient), Python
 Data Analysis: Pandas, Numpy, MatPlotLib
 Time Series Analysis: StatsModels, ARIMA Models, LSTM, GRU
 Data Science: Keras, NLTK, NLP, Deep Learning, Association Rule Learning, Reinforcement Learning Standard ML
Algorithms (Regression, Classification, Clustering)
 Frontend: HTML, CSS, Bootstrap, Materialize
 Databases: MongoDB, MySQL
 Data Structure, Git, MS Office
PROJECTS
SELF DRIVING CAR
 A virtual car which uses the principal of Q-Learning and recognizes the obstacles in its path for a smooth run.
APPAREL PRODUCT RECOMMENDATION SYSTEM
 Applied Natural Language Feature Engineering and built a content based recommendation system using NLP Models (Bag of
words and TF-IDF) in problem of recommending similar products on e-commerce websites by using Amazon product
advertising API. Tech Stack - Python, BoW, TF-IDF, Word2Vec, NLP.
FACE RECOGNITION using KNN
 Applied K Nearest Neighbour classification algorithm in face recognition using opencv and HaarCascades CNN .
 Model for frontal face detection. Tech Stack - Python, ML(KNN), OpenCV.
HANDWRITTEN DIGIT RECOGNITION
 Applied K Nearest Neighbours Algorithm in recognizing handwritten digits (0 to 9) from the MNIST dataset.
 Developed a system from scratch which includes a machine to understand and classify the images of handwritten digits as 10
digits (0–9). Accuracy of the model was around 98%. Tech Stack - Python, ML(KNN), OpenCV, MNIST Database.
DOMINANT COLOR EXTRACTION
 Applied K Means Clustering Unsupervised Algorithm in Segmenting an image into set ok K Dominant Colors.
 Extracted the K Dominant Colors from the image and then re-colorized it using those K Colors. Tech Stack - Python, ML(K-
Means), OpenCV.
WORD ANALOGIES
 Solving Word Analogies by representing Words as Vectors using Google Pretrained Deep Learning Model, Word2Vec.
 Trained the Word2Vec model using Gensim’s implementation of Word2Vec. Used Gensim, a python toolkit which helps
with vector-space and topic modeling to create a model that solved analogies. Tech Stack - Python, Word2Vec.
TECHNICAL SKILLS

2. POSITIONS OF RESPONSIBILITY
International Service Director, Rotaract Club of Delhi Akash July 2019 - Present
 Rotaract Club is a college level branch of Rotary International which works for community and professional development.
 I organized 30+ projects which included exchange programs with international rotaractors from many countries and
video conferences with them.
President, Interact Club June 2015-June 2016
 Interact Club is a school level branch of Rotary International which works for community and professional development.
 Me and my team organized 70+ projects and won the platinum award for best interact club of the disrict.
Activity Incharge, Mira Model School Dec 2015 – Dec 2016
 The responsibility of all the activities conducted in year 2015-16 in our schools was given to me. All events including food
festivals to winter carnivals were single-handedly organised by me. The sponsorships like Dominos and McDonalds for
different events were also arranged by me.
 The only person to get selected from Delhi for the finals of National Drama Festival held in Kolkata.
 A part of Delhi National Volleyball team and represented Delhi at National Volleyball Championship held in Chennai.
 A part of West Delhi Cricket team and represented West Zone Cricket Team at Zonal Level.
 A part of Rotary International for over 7 years and organized more than 100 projects related to community services.
ACHIEVMENTS AND EXTRA CURRICULAR INTERESTS