Hold the wheel. Learn the actual scenarios, challenges and factors that play out in the real world. Data Science needs you in the front seat. Here’s how to get there. Kanchana Kumar, an alumnus of IISc and TalentSprint’s Computational Data Science Programme, shares his experience.
In the #WhatIndustryWants webinar, Anjana Chiramel, Sr. Human Resources Manager, GSMO India, Microsoft, shared interesting insights on diversity and inclusion in the tech industry.
In the Industry Immersion Event, Britto Sidhan, General Manager (Global Security Lab), Schneider Electric, shared an interesting observation on how the global talent shortage in Cyber Security can become a goldmine for aspirants. Especially to those planning to launch their tech career or professionals looking for a career switch.
In the 6th Peer Guru Session, Syed Hussain, an alumnus of the Certified Full Stack Developer Program, who got offers from Genpact, SAIS IT Services, DispatchTrack Software, and Aptroid Consulting shared tips on kick-starting an IT career with Full Stack Developer expertise.
A recently held webinar introduced Dr. Balaraman Ravindran and Dr. Arun Rajkumar, Faculty Members of IIT Madras’ Data Science Programme.
IIM Calcutta and TalentSprint’s AI-Powered Marketing Programme alumni shared how the programme equips them with capabilities. How did the programme impact their careers? Why do professionals trust this programme? And much more.
In the ‘AI in Stock Markets’ Workshop, Expert Quant Trader, Dr. Anand Jayaraman demonstrated how traders optimize an ML-driven trading strategy in a live setting.
Srinivasa Reddy Bode shared some valuable tips for graduates to crack a premium tech role in the industry in a captivating TalentSprint Peer Guru Session.
Marketers can leverage AI’s power in making decisions on campaigns, budgets, channels, identifying opportunities, creating marketing USP and more. In an interactive session hosted by ET BRANDEQUITY.com, experts shared some exciting insights on this.
In a LIVE AI/ML Masterclass, Prof. Anoop Namboodiri from IIIT Hyderabad, shared some interesting views and insights on Machine Learning in Computer Vision.
“The rise of powerful AI will be either the best, or the worst thing, ever to happen to humanity. We do not yet know which.” – Stephen Hawking
Will AI replace jobs? Can we swap AI and ML? Can we deploy AI without a plan? Let’s find out.
Artificial intelligence, or AI as it’s more commonly known, has been gaining momentum for a while now. In the past few years alone we have seen its revolutionary impact on almost every industry out there and experts predict that this trend will only continue to grow in popularity over time.
“Any sufficiently advanced technology is indistinguishable from magic.” – Arthur Clarke
When we think of artificial intelligence (AI), we think of machines, computer systems, algorithms, and models trying to get closer to human intelligence. Today, this space straddles many areas, like natural speech recognition, expert systems, machine learning, general AI applications, and more. The future, however, is mapped towards singularity:
The first word that comes to mind after hearing Poojitha Bijjam’s story is ‘trouble-shooter’. She is someone who loves solving problems – coding and non-coding alike. In fact, she loves it so much that she spends her free time looking for problems to solve. She also believes in motivating people around her by setting an example. This is her story.
Saying that Harshitha A.V.L. is passionate does not do justice to her character. This Hyderabad-based women engineer goes out of her way to help people, mentor them and give them a direction. Why? Because she knows what it’s like being directionless, meandering about without a clue of where she is headed.
Yashi Srivastava introduces herself as a girl who thrives on a good challenge. She is that person who will fight to get the things she wants. Today, all her struggles have led to her getting an offer from Gojek at a CTC of INR 29 lakhs. This is her story.
When Delhi girl Riya Tyagi recounts her story, the following lines from a Robert Frost poem come to mind:
“The woods are lovely, dark and deep,
But I have a promise to keep,
And miles to go before I sleep.”
As women living in India, many of us might feel a pinch (read: truck full) of self-doubt and lack of self-confidence from time to time. But with Spriha Mandal, these two were old friends that failed her since her childhood.
Meet Bhavana Reddy Vanga—a Hyderabad girl who sets extremely high standards for herself and risks it all when those standards aren’t met. She is diligent, persistent and has a focused approach to life. Just in her early 20s, Bhavana knows what she wants and is not afraid to give her all to get it. This is her story.
The ability to breathe seamlessly is a pre-requisite for life. Imagine for a second that you are someone who faces breathing difficulties, nosebleeds, and irritation in your nasal canal almost every day. Would you then be able to focus on anything much?
Chirpy, bold and optimistic – three words that best describe Ashna Kapoor, the Amritsar girl leading change in her community. Where Ashna comes from, 22-year-old girls are usually married off into good families and their education is restricted to the cities or towns they live in.
There are times when all of us feel like prisoners in our own minds – constantly trying to break free of negative thoughts but unable to. For Monica Sai Kambala, this feeling is an everyday reality.
Sajal Agarwal’s busy LinkedIn profile is a testimonial to this recent B. Tech graduate’s drive to prove herself. Just in her early 20s, this Mathura girl is out to win big. She is fearless, well-spoken, and knows her mind —traits that are rare in one so young.
The story of Pravallika Boppana – a girl who codes – and her extraordinary drive to prove herself
Much like Katniss Everdeen of The Hunger Games, Pravallika Boppana is fiercely protective of her family and highly competitive. The first thing you notice about this girl is her unabashed confidence and radiant spirit.
Story of Supraja: A girl who codes
People can be roughly divided into those who talk and those who do. The second category is the rarer one. Why? Because doers are easily missed in a room full of people with loud voices.