I

Ishan Tickoo

Software Engineer

San Francisco, California, United States6 yrs 2 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 4x Salesforce Certified professional.
  • Expert in Full Stack Development and Machine Learning.
  • Proven track record in delivering data-driven solutions.
Stackforce AI infers this person is a Full Stack Developer with expertise in SaaS and Data Science.

Contact

Skills

Core Skills

Data AnalysisCommunicationFull Stack DevelopmentTeam LeadershipMachine LearningNlpWeb DevelopmentData Science

Other Skills

TableauHTMLSCSSJavaScriptEmber.jsPythonData ClassificationAdobe XDCode TestingData CleansingPredictive ModelingData VisualizationFlaskGen AIAI Prompting

About

Software Engineer - II with 3+ years of experience in Salesforce Development. I am enthusiastic and driven to solve problems through technical solutions across various platforms. Skills: Apex, JavaScript, SOQL, Lightning Web Components, Visualforce, Python, HTML5, CSS3, JavaScript, Django, SQL, MongoDB, NoSQL, Figma and API integrations. I am always eager to learn new technologies and adapt to situations quickly. I have worked on different Industries of Salesforce namely Health and Finance. I also have good knowledge of Sales and Service cloud. Certifications: 1. Salesforce Certified Platform Developer - I 2. Salesforce Certified Administrator 3. Salesforce Certified AI Specialist 4. Salesforce Certified AI Associate I like to keep up with the latest trends and keep myself up to date with the ever-changing environment. I thrive in a collaborative environment and am also good at understanding business needs of clients to deliver solutions. This includes the full Software Development Life Cycle from requirements gathering and solution design to implementation, testing, and maintenance. I get excited about using AI and create AI agents to deliver solutions. I like connecting with others who share the same passion for technology as me.

Experience

6 yrs 2 mos
Total Experience
2 yrs
Average Tenure
4 yrs 10 mos
Current Experience

Accellor (previously popcornapps)

2 roles

Associate, Cloud Applications - (Software Engineer)

Aug 2021Present · 4 yrs 10 mos · San Francisco Bay Area

Associate , Cloud Applications - (Software Engineer)

Aug 2021Present · 4 yrs 10 mos · San Francisco Bay Area

New york university

Decision Support Group Analyst

Sep 2020Aug 2021 · 11 mos

  • Analyzing reports that are generated for the Decision Support Group Finance and Analytics at New York University to find patterns and performing data visualizations on them using Tableau.
  • Communicating with clients to resolve issues and forwards requests to the designated person.
Data AnalysisTableauCommunication

Stem-away

2 roles

Full Stack Engineering Intern

Jul 2020Aug 2020 · 1 mo · Santa Clara County, California, United States

  • Lead a team of 11 Full Stack interns and oversaw project design, architecture, and planning by organizing weekly scrum meetings. Developed a custom Discourse Theme for the STEM-Away website using HTML, SCSS, and JavaScript (Ember.js).
HTMLSCSSJavaScriptEmber.jsTeam LeadershipFull Stack Development

Machine Learning Intern

Jun 2020Jul 2020 · 1 mo · Santa Clara County, California, United States

  • Constructed a topic recommendation system using the BERT classification model in NLP for the STEM-Away website.
  • Achieved 97% accuracy in forum classification by implementing a multi-label forum classifier using Tf-Idf embeddings and a Linear SVC
  • model in NLP.
  • Successfully completed auxiliary deliverable in the form of a web scraper in Python to collect the data necessary for these products.
NLPPythonData ClassificationMachine Learning

Rev tech

Web Development Intern

Jun 2020Aug 2020 · 2 mos · Lakewood, Washington, United States

  • Improved the RevTech website by redesigning it using Adobe XD.
  • Built a wireframe for Change Management using Adobe XD and then created a SharePoint on it for the T-Mobile team.
  • Performed code testing and debugging.
Adobe XDWeb DevelopmentCode Testing

Center for research, innovation and entrepreneurship, miet

Data Science Intern

Jul 2017Dec 2017 · 5 mos · Jammu, Jammu and Kashmir (state)

  • Performed data cleansing operations on a dataset of student information.
  • Created a module for predicting the placement of students in a college based on certain predictors using R and python. Worked with libraries in python like Pandas, NumPy, seaborn and Scikit-learn and R libraries like Dplyr, Knitr, Mlr, and ggplot2.
  • Designed data visualization charts to display the placement prediction of students using Highcharts.
  • dentified the probability of a student getting placed using a linear regression model.
  • Wrote a technical report on Autonomic Systems.
Data CleansingPredictive ModelingData VisualizationData Science

Education

New York University

Master of Science - MS — Computer Science

Jan 2019Jan 2021

Model Institute of Engineering and Technology

Bachelor of Engineering - BE — Computer Engineering

Jan 2014Jan 2018

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