• Gold Medalist from the esteemed Christ University, Bangalore and with an unwavering passion for harnessing the power of data to drive innovative solutions. 

• My exceptional academic record serves as a testament to my exceptional analytical skills, problem-solving capabilities, and dedication to pushing the boundaries of knowledge in this rapidly evolving domain.

• Working knowledge of Python, data extraction and data manipulation, and widely used python libraries like Scikit-Learn, NumPy, Pandas, NLTK, Lang Detect, Beautiful Soup, OpenCV, TensorFlow, Pillow, Matplotlib, Seaborn, SciPy for data analysis.

• Good knowledge of implementing Classification, Regression, Decision Trees, Random Forests, Naive Bayes, KNN, K-means. 

• Good knowledge of implementing Deep Learning Algorithms along with Computer Vision approaches. • Good knowledge of implementing Natural Language Processing concepts. 

EDUCATION 

Christ University – Gold Medallist June 2023 

MTech Information Technology (Data Analytics)
GPA: 3.91/4 

UPTU Sept 2020
BTech in CSE
CGPA: 8.9/10

New Standard Public School May 2015
Higher Secondary
Aggregate: 92.2% 

New Standard Public School June 2013
Matriculation
Aggregate: 85.3% 

Areas of Interest in Teaching

1. Machine Learning

2. Data Mining
   
   

Areas of Interest in Research

1. Deep Learning

2. Computer Vision

3. Natural Language Processing

4. Machine Learning

PUBLICATION

TITLE: AN IMPROVED AND EFFICIENT YOLOv4 METHOD FOR OBJECT DETECTION IN VIDEO STREAMING
PUBLISHER: SPRINGER SCOPUS INDEXED
TITLE: A COMPARATIVE INVESTIGATION ON THE USE OF MACHINE LEARNING TECHNIQUES FOR CURRENCY AUTHENTICATION
PUBLISHER: IEEE SCOPUS INDEXED
TITLE: MULTILINGUAL SPAM SMS DETECTION USING A HYBRID DEEP LEARNING TECHNIQUE
PUBLISHER: IEEE SCOPUS INDEXED
TITLE: IMPROVING INDOOR OCCUPANCY ESTIMATION USING A HYBRID CNN-LSTM MODEL
PUBLISHER: IEEE SCOPUS INDEXED
TITLE: ON BORDER SECURITY BASED FACE DETECTION SYSTEM USING HAAR-CASCADE AND LBPH
PUBLISHER: SPRINGER SCOPUS INDEXED.
TITLE: DEEP LEARNING CHARACTER RECOGNITION OF HANDWRITTEN DEVANAGARI SCRIPT: A COMPLETE SURVEY
PUBLISHER: IEEE SCOPUS INDEXED 

Scopus: www.scopus.com/authid/detail.uri?authorId=57219294231 

Research Gate: www.researchgate.net/profile/Arpit-Sharma-37 

Awards & Achievements

1. Certification of Merit for branch Topper in BTech First Year and BTech Second Year.

2. Got Third Position in Brain storming Competition organized by Reverence Community held in Indraprastha Engineering College in 2017.

3. Got 25th Position in UP merit of 12th Board Exams in 2016.

4. NPTEL certification with successfully completed in Programming and data structure using Python organized by IIT Madras of 8-week course in 2019.

5. NPTEL certification with elite (64%) in Data mining organized by IIT Kharagpur of 8-week course in 2019.

6. Certificate of Participation in Hackathon coding event organized by Indraprastha Engineering College in 2018.

7. Certificate of Participation in Wipro earthian sustainability quiz organized by Wipro in 2019.

8. Certificate of Participation in Machine Learning Workshop organized by Applied Roots.

Events Attended

1. International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP 2022).

2. International Conference on Data Science and Applications (ICDSA 2022). 

3. International Conference on Data Science, Computation and Security (IDSCS 2022) .

4. IEEE Silicon conference 2022.

5. International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR 2022). 

Responsibilities

• Research Intern at Unisys.

• Machine Learning Intern at Feynn Labs.

• Intern at Mahindra Comviva.

Courses and Departmental Responsibilities

• Teaching Artificial Intelligence in 5th sem.

• NSS Coordinator in CSE.

• Member of Center of Excellence in Machine Learning and Big Data.

• Industry Connect Coordinator.

Publications

1. Sharma A., Esha, S., Reddy, S., & Gopalapillai, R. (2024). Emotion Recognition in Indian Classical Dance Performances: An Object Detection-Based Approach. In 5th IEEE Global Conference for Advancement in Technology (GCAT) (pp. 1–5). IEEE.

2. Hussain, J., Prathap, B. R., & Sharma, A. (2022). An Improved and Efficient YOLOv4 Method for Object Detection in Video Streaming. In Data Science and Security: Proceedings of IDSCS 2022 (pp. 305-316). Singapore: Springer Nature Singapore.

3. Sharma, A., Prathap, B. R., & Hussain, J. (2022, March). A Comparative Investigation on the use of Machine Learning Techniques for Currency Authentication. In 2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR) (pp. 1-5). IEEE.

4. Ramanujam, E., Shankar, K., & Sharma, A. (2022, November). Multi-lingual Spam SMS detection using a hybrid deep learning technique. In 2022 IEEE Silchar Subsection Conference (SILCON) (pp. 1-6). IEEE.

5. Ramanujam, E., Sharma, A., Hussian, J. J., & Perumal, T. (2022, July). Improving Indooroccupancy estimation using a hybrid CNN-LSTM approach. In 2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) (pp. 1-6). IEEE.

6. Sharma, A., & Jayapandian, N. (2023, February). Face Detection-Based Border Security System Using Haar-Cascade and LBPH Algorithm. In Proceedings of International Conference on Data Science and Applications: ICDSA 2022, V olume 1 (pp. 25-38). Singapore: Springer Nature Singapore.

7. Sharma, A., & Mithun, B. N. (2023, April). Deep Learning Character Recognition of Handwritten Devanagari Script: A Complete Survey. In 2023 IEEE International Conference on Contemporary Computing and Communications (InC4) (V ol. 1, pp. 1-6). IEEE.

8. Ramanujam, E., Shankar, K., & Sharma, A. (2022, December). A review on artificial intelligence techniques for multilingual SMS spam detection. In International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (pp. 525-536). Singapore: Springer Nature Singapore.

9. Goswami, M., & Sharma, A. (2023). Towards Sustainable Business: Review of Sentiment Analysis to Promote Business and Well-Being. Emerging Trends and Innovations in Industries of the Developing World, 122-126.