HIMANSHU JHA

Mobile No.: +91-920*******

E-Mail: admh1w@r.postjobfree.com

Skills Set

Software Design & Development

Software Engineering

Python Development

Problem Solving

Coding & Debugging

Problem Analysis

Algorithm Design

NLP Development

Artificial Intelligence

Result-oriented professional targeting assignments in Software

Development / Coding, Debugging, Software Design

& Implementation with a reputed organization in IT industry

P R O F I L E S U M M A R Y

• Strong in design and integration with intuitive problem-solving skills. Proficient in PYTHON, MACHINE LEARNING, C, C++, Django, JAVA, JAVASCRIPT, MongoDB and SQL.

• Passionate about implementing and launching new projects. Ability to translate business requirements into technical solutions. Looking to start the career as an entry-level software engineer with a reputed firm driven by technology.

• Currently associated with Codes Lipi Infotech Pvt. Ltd., as Machine Learning Intern.

• Effective in Python, Machine Learning, C/C++, OS Concepts, Data Structure; proficient in a vast array of programming languages & technologies

• An effective communicator with excellent relationship management skills, strong analytical, problem-solving as well as organizational capabilities.

A C A D E M I C D E T A I L S

• Masters of Computer Applications (MCA) from YMCA UNIVERSITY OF SCIENCE AND TECHNOLOGY, Faridabad in 2021 with 8.04 CGPA (till now)

• Bachelor of computer applications (BCA) from DAV Centenary College, Faridabad (MDU) in 2018 with 62.4%

• 12th from KV INA New Delhi-23 (CBSE) in 2015 with 62.2%

• 10th from KV INA New Delhi-23 (CBSE) in 2013 with 8.0 CGPA O R G A N I Z A T I O N A L E X P E R I E N C E

IT S K I L L S

P E R S O N A L D E T A I L S

Since January’21 with Codes Lipi Infotech Pvt. Ltd. as Machine Learning Intern Key Responsibilities:

• Developing database to train and test the system with variety of inputs.

• Responsible for implementation of algorithms for various machine learning modules that are to be used at different stages of the project.

• Developing basic problem-solving techniques to reduce errors.

• Implementation of Natural Language Processing (NLP) algorithms.

• Implementing basic Artificial Neural Network (ANN) algorithms.

• Working on development of tools to ease the maintainability of the product in longer run and reduce the cost per unit produced.

Highlights:

• Implemented a feature in product using Python that increased the robustness of the module.

• Identified and fixed 50+ bugs by programming; integrated unit tests of 10+ features into a nightly-build which increased line of code coverage by 5%.

• Gained appreciation for analyzing and modifying existing codes to incorporate future changes in the application / user requirements, wrote new codes as required.

• Played a key role in deciding tools and libraries to be used; devised possible solutions and approaches to problems.

• MS Office (Word, Excel & PowerPoint)

• Operating Systems: Windows /XP/Vista/7/10

• Python Programming

• C Programming

• C++ Programming

• Data Structures

• Problem Solving

• Algorithms design

• OS Concepts

• Application Programming

• Software Programming

Date of Birth: 27 September 1998

Language Known: English and Hindi

Address: B 4082, Ground Floor, Green Field Colony, Faridabad-121010

(Please refer to Annexure for Academic as well as Major Projects) A C A D E M I C P R O J E C T S

M A J O R P R O J E C T S

ANNEXURE:

Project Title: LOAN SANCTION ASSESSMENT AND

FEASIBLE SYSTEM Using Machine Learning

Organization: YMCA UNIVERSITY OF SCIENCE AND

TECHNOLOGY

Period: Feb’20 – Jun’20

PROJECT DESCRIPTION:

LOAN SANCTION ASSESSMENT AND FEASIBLE SYSTEM IS A SOFTWARE SYSTEM WHICH CAN DECIDE ITSELF WHETHER TO APPROVE LOAN TO A PERSON OR AN ORGANIZATION OR NOT. A PARTICULAR TRAINING DATA IS USED TO TRAIN THE SYSTEM. BASED ON THE TRAINING OF THE SYSTEM AND DATABASE THE SYSTEM CAN PREDICT EITHER TO APPROVE LOAN OR NOT. THIS SYSTEM WORKS BY USING DECISION TREES, LOGISTIC REGRESSION, AND RANDOM FOREST.

Role: Project Head

• Implemented a system to automatically decide whether to approve loan or not.

• Developed two machine learning algorithms for classifying articles.

• Developed and compared different machine learning modules to choose best among them.

• Compared the accuracy of the algorithm under different cases.

• Recommended a method to improve the accuracy by creating efficient feature set. Project Title: WORD PROBLEM SOLVER Using Machine Learning Organization: Codes Lipi InfoTech Pvt. Ltd.

Period: January’21 – Till Date

PROJECT DESCRIPTION:

We are working on a Machine Learning project called Word Problem Solver. The basic idea of this project is to create a system that can analyze user's queries using Natural Language Processing

(NLP) and Artificial Intelligence (AI) and after that can answer the results of those queries with high accuracies even in the worst cases and improper user inputs. Role:

• Working as a software developer and Machine Learning Intern for the design and implementation of Word Problem Solver in Machine Learning using Python.

• Implemented a system to automatically responds to user’s input.

• Developed Natural Language Processing (NLP) algorithms for datasets and generating modules.

• Developed an environment to Tokenize sentences datasets and for further Embedding.

• Played a key role in Data Preprocessing and generating Machine Learning modules.

• Played a key role in deciding tools and libraries to be used; devised possible solutions and approaches to problems.

• Implementing basic Artificial Neural Network (ANN) algorithms.

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